Dataset info
| Number of variables | 106 |
|---|---|
| Number of observations | 8533 |
| Missing cells | 114704 (12.7%) |
| Duplicate rows | 0 (0.0%) |
| Total size in memory | 74.3 MiB |
| Average record size in memory | 8.9 KiB |
Variables types
| CAT | 46 |
|---|---|
| NUM | 42 |
| BOOL | 8 |
| UNSUPPORTED | 5 |
| URL | 5 |
Reproduction info
| Date of analysis | 2020-01-22 04:47:27.825559 |
|---|---|
| Version | pandas-profiling v2.4.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download Configuration | config.yaml |
Warnings
access has 3244 (38.0%) missing values | Missing |
access has a high cardinality: 4340 distinct values | Warning |
amenities has a high cardinality: 7171 distinct values | Warning |
availability_30 has 2913 (34.1%) zeros | Zeros |
availability_365 has 1610 (18.9%) zeros | Zeros |
availability_60 has 2325 (27.2%) zeros | Zeros |
availability_90 has 2055 (24.1%) zeros | Zeros |
bedrooms has 864 (10.1%) zeros | Zeros |
beds has 184 (2.2%) zeros | Zeros |
calculated_host_listings_count_entire_homes has 2603 (30.5%) zeros | Zeros |
calculated_host_listings_count_private_rooms has 4439 (52.0%) zeros | Zeros |
calculated_host_listings_count_shared_rooms has 8041 (94.2%) zeros | Zeros |
calendar_updated has a high cardinality: 66 distinct values | Warning |
cleaning_fee has 959 (11.2%) missing values | Missing |
cleaning_fee has a high cardinality: 195 distinct values | Warning |
country has constant value "United States" | Rejected |
country_code has constant value "US" | Rejected |
description has a high cardinality: 7495 distinct values | Warning |
experiences_offered has constant value "none" | Rejected |
extra_people has a high cardinality: 81 distinct values | Warning |
first_review has 1891 (22.2%) missing values | Missing |
first_review has a high cardinality: 2278 distinct values | Warning |
has_availability has constant value "t" | Rejected |
host_about has 2155 (25.3%) missing values | Missing |
host_about has a high cardinality: 3154 distinct values | Warning |
host_acceptance_rate has 8533 (100.0%) missing values | Missing |
host_acceptance_rate is an unsupported type, check if it needs cleaning or further analysis | Warning |
host_listings_count has 497 (5.8%) zeros | Zeros |
host_location has a high cardinality: 182 distinct values | Warning |
host_name has a high cardinality: 2183 distinct values | Warning |
host_neighbourhood has 565 (6.6%) missing values | Missing |
host_neighbourhood has a high cardinality: 139 distinct values | Warning |
host_response_rate has 1000 (11.7%) missing values | Missing |
host_response_time has 1000 (11.7%) missing values | Missing |
host_since has a high cardinality: 2353 distinct values | Warning |
host_total_listings_count has 497 (5.8%) zeros | Zeros |
host_verifications has a high cardinality: 256 distinct values | Warning |
house_rules has 2283 (26.8%) missing values | Missing |
house_rules has a high cardinality: 4389 distinct values | Warning |
interaction has 2804 (32.9%) missing values | Missing |
interaction has a high cardinality: 4245 distinct values | Warning |
is_business_travel_ready has constant value "f" | Rejected |
last_review has 1891 (22.2%) missing values | Missing |
last_review has a high cardinality: 879 distinct values | Warning |
license has 3243 (38.0%) missing values | Missing |
license has a high cardinality: 2578 distinct values | Warning |
maximum_maximum_nights is highly skewed (γ1 = 46.12635698) | Skewed |
maximum_minimum_nights is highly skewed (γ1 = 92.37423852) | Skewed |
maximum_nights is highly skewed (γ1 = 92.37406461) | Skewed |
maximum_nights_avg_ntm is highly skewed (γ1 = 46.12635698) | Skewed |
medium_url has 8533 (100.0%) missing values | Missing |
medium_url is an unsupported type, check if it needs cleaning or further analysis | Warning |
minimum_maximum_nights is highly skewed (γ1 = 46.12635698) | Skewed |
minimum_minimum_nights is highly skewed (γ1 = 92.37423875) | Skewed |
minimum_nights is highly skewed (γ1 = 92.37423875) | Skewed |
minimum_nights_avg_ntm is highly skewed (γ1 = 92.37423857) | Skewed |
monthly_price has 7507 (88.0%) missing values | Missing |
name has a high cardinality: 8172 distinct values | Warning |
neighborhood_overview has 2111 (24.7%) missing values | Missing |
neighborhood_overview has a high cardinality: 4692 distinct values | Warning |
neighbourhood has a high cardinality: 56 distinct values | Warning |
neighbourhood_group_cleansed has 8533 (100.0%) missing values | Missing |
neighbourhood_group_cleansed is an unsupported type, check if it needs cleaning or further analysis | Warning |
notes has 3317 (38.9%) missing values | Missing |
notes has a high cardinality: 3759 distinct values | Warning |
number_of_reviews has 1891 (22.2%) zeros | Zeros |
number_of_reviews_ltm has 2813 (33.0%) zeros | Zeros |
review_scores_accuracy has 1937 (22.7%) missing values | Missing |
review_scores_checkin has 1938 (22.7%) missing values | Missing |
review_scores_cleanliness has 1937 (22.7%) missing values | Missing |
review_scores_communication has 1936 (22.7%) missing values | Missing |
review_scores_location has 1938 (22.7%) missing values | Missing |
review_scores_rating has 1932 (22.6%) missing values | Missing |
review_scores_value has 1938 (22.7%) missing values | Missing |
reviews_per_month has 1891 (22.2%) missing values | Missing |
scrape_id has constant value "20191200000000.0" | Rejected |
security_deposit has 1759 (20.6%) missing values | Missing |
security_deposit has 2257 (26.5%) zeros | Zeros |
space has 1208 (14.2%) missing values | Missing |
space has a high cardinality: 5892 distinct values | Warning |
square_feet has 8407 (98.5%) missing values | Missing |
summary has 213 (2.5%) missing values | Missing |
summary has a high cardinality: 6789 distinct values | Warning |
thumbnail_url has 8533 (100.0%) missing values | Missing |
thumbnail_url is an unsupported type, check if it needs cleaning or further analysis | Warning |
transit has 2606 (30.5%) missing values | Missing |
transit has a high cardinality: 4661 distinct values | Warning |
weekly_price has 7480 (87.7%) missing values | Missing |
xl_picture_url has 8533 (100.0%) missing values | Missing |
xl_picture_url is an unsupported type, check if it needs cleaning or further analysis | Warning |
zipcode has 245 (2.9%) missing values | Missing |
availability_60 is highly correlated with availability_30 and 1 other fields | High Correlation |
availability_30 is highly correlated with availability_60 | High Correlation |
availability_90 is highly correlated with availability_60 | High Correlation |
calculated_host_listings_count_entire_homes is highly correlated with calculated_host_listings_count | High Correlation |
calculated_host_listings_count is highly correlated with calculated_host_listings_count_entire_homes | High Correlation |
host_total_listings_count is highly correlated with host_listings_count | High Correlation |
host_listings_count is highly correlated with host_total_listings_count | High Correlation |
maximum_nights is highly correlated with maximum_minimum_nights and 3 other fields | High Correlation |
maximum_minimum_nights is highly correlated with maximum_nights and 3 other fields | High Correlation |
maximum_nights_avg_ntm is highly correlated with maximum_maximum_nights and 1 other fields | High Correlation |
maximum_maximum_nights is highly correlated with maximum_nights_avg_ntm and 1 other fields | High Correlation |
minimum_maximum_nights is highly correlated with maximum_maximum_nights and 1 other fields | High Correlation |
minimum_minimum_nights is highly correlated with maximum_minimum_nights and 3 other fields | High Correlation |
minimum_nights is highly correlated with maximum_minimum_nights and 3 other fields | High Correlation |
minimum_nights_avg_ntm is highly correlated with maximum_minimum_nights and 3 other fields | High Correlation |
weekly_price is highly correlated with monthly_price | High Correlation |
monthly_price is highly correlated with weekly_price | High Correlation |
country_code is highly correlated with country and 4 other fields | High Correlation |
country is highly correlated with country_code and 4 other fields | High Correlation |
experiences_offered is highly correlated with country and 4 other fields | High Correlation |
has_availability is highly correlated with country and 4 other fields | High Correlation |
is_business_travel_ready is highly correlated with country and 4 other fields | High Correlation |
last_scraped is highly correlated with calendar_last_scraped | High Correlation |
calendar_last_scraped is highly correlated with last_scraped | High Correlation |
scrape_id is highly correlated with country and 4 other fields | High Correlation |
| Distinct count | 4340 |
|---|---|
| Unique (%) | 50.9% |
| Missing | 3244 |
| Missing (%) | 38.0% |
| Memory size | 66.7 KiB |
| #NAME? | 60 |
|---|---|
| All guests enjoy full access to the kitchen and living room a.k.a. Communal Spaces. In addition we have a small library and a washer and dryer for complimentary use. All bathrooms are newly remodeled. | 52 |
| Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. On-site staff are on duty to provide further help during your stay. | 51 |
| This is a functioning hotel, guests can access all common areas including the lobby and fitness center. Guests will have a private hotel room with bathroom and mini-fridge. | 37 |
| - Self check-in from 4pm onwards. Self check-out at 11am. If you arrive early, you can leave your bags in our guest storage area on the ground floor until check-in time. - You will have access to your bedroom and all the shared spaces (main space, kitchen, lounge with sauna, shared bathrooms, and an office space). - Like its people, the space changes frequently and offers surprises and secrets at every turn. We welcome you to explore and discover its various experiences (but please leave shared spaces better than you found them!). | 35 |
| Other values (4334) |
| Value | Count | Frequency (%) | |
| #NAME? | 60 | 0.7% | |
| All guests enjoy full access to the kitchen and living room a.k.a. Communal Spaces. In addition we have a small library and a washer and dryer for complimentary use. All bathrooms are newly remodeled. | 52 | 0.6% | |
| Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. On-site staff are on duty to provide further help during your stay. | 51 | 0.6% | |
| This is a functioning hotel, guests can access all common areas including the lobby and fitness center. Guests will have a private hotel room with bathroom and mini-fridge. | 37 | 0.4% | |
| - Self check-in from 4pm onwards. Self check-out at 11am. If you arrive early, you can leave your bags in our guest storage area on the ground floor until check-in time. - You will have access to your bedroom and all the shared spaces (main space, kitchen, lounge with sauna, shared bathrooms, and an office space). - Like its people, the space changes frequently and offers surprises and secrets at every turn. We welcome you to explore and discover its various experiences (but please leave shared spaces better than you found them!). | 35 | 0.4% | |
| Outpost Club provides end-to-end co-living services to tech startups, entrepreneurs, digital nomads, freelancers, remote workers, professionals, students, and anyone looking to move to a new city and meet new people. Coliving is a shared housing model. Members share kitchens, living rooms, and other common spaces with all members, and have a private or shared bedrooms of your choice. Everything is included in our flat fee: utilities, wifi, furniture, appliances, kitchen supplies, and anything else you would need upon moving into a new place. All you need to bring is your suitcase. | 31 | 0.4% | |
| Guests will have full access to onsite amenities | 28 | 0.3% | |
| All guests have 24 hour access to the ballroom, kitchen and internet lounge! No curfews here :) | 23 | 0.3% | |
| You will have access to the entire property. | 22 | 0.3% | |
| Reservations will be secured and transferred in your name. You will have full access to the unit and all guest facilities. | 21 | 0.2% | |
| Other values (4329) | 4929 | 57.8% | |
| (Missing) | 3244 | 38.0% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1000 |
|---|---|
| Mean length | 128.1729755 |
| Min length | 3 |
accommodates
Real number (ℝ≥0)
| Distinct count | 16 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.130434783 |
|---|---|
| Minimum | 1 |
| Maximum | 16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 6 |
| Maximum | 16 |
| Range | 15 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.89781829 |
|---|---|
| Coefficient of variation (CV) | 0.6062475094 |
| Kurtosis | 5.339537993 |
| Mean | 3.130434783 |
| Median Absolute Deviation (MAD) | 1.467428245 |
| Skewness | 1.834003858 |
| Sum | 26712 |
| Variance | 3.601714262 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 1.5 2.5 3.5 4.5 ... 8.5 9.5 10.5 12.5 16. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 2 | 3898 | 45.7% | |
| 4 | 1677 | 19.7% | |
| 1 | 827 | 9.7% | |
| 3 | 709 | 8.3% | |
| 6 | 664 | 7.8% | |
| 5 | 358 | 4.2% | |
| 8 | 169 | 2.0% | |
| 7 | 105 | 1.2% | |
| 10 | 48 | 0.6% | |
| 9 | 24 | 0.3% | |
| Other values (6) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| 1 | 827 | 9.7% | |
| 2 | 3898 | 45.7% | |
| 3 | 709 | 8.3% | |
| 4 | 1677 | 19.7% | |
| 5 | 358 | 4.2% |
| Value | Count | Frequency (%) | |
| 16 | 7 | 0.1% | |
| 15 | 7 | 0.1% | |
| 14 | 5 | 0.1% | |
| 13 | 1 | < 0.1% | |
| 12 | 23 | 0.3% |
| Distinct count | 7171 |
|---|---|
| Unique (%) | 84.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| {TV,"Cable TV",Wifi,"Air conditioning",Elevator,Heating,Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Hot water","Bed linens","Long term stays allowed",Other} | 61 |
|---|---|
| {TV,"Cable TV",Wifi,"Air conditioning",Gym,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Self check-in","Building staff","Private entrance","Hot water","Bed linens",Microwave,Refrigerator,"Luggage dropoff allowed"} | 38 |
| {TV,Elevator,Heating,"Smoke detector",Essentials} | 27 |
| {TV,Wifi,"Air conditioning",Kitchen,Gym,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance"} | 25 |
| {TV,"Cable TV","Air conditioning","Paid parking off premises",Gym,Elevator,Heating,"Family/kid friendly",Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,"24-hour check-in",Hangers,"Hair dryer",Iron,"Self check-in","Building staff","Hot water","Luggage dropoff allowed","Paid parking on premises"} | 24 |
| Other values (7166) |
| Value | Count | Frequency (%) | |
| {TV,"Cable TV",Wifi,"Air conditioning",Elevator,Heating,Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Hot water","Bed linens","Long term stays allowed",Other} | 61 | 0.7% | |
| {TV,"Cable TV",Wifi,"Air conditioning",Gym,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Self check-in","Building staff","Private entrance","Hot water","Bed linens",Microwave,Refrigerator,"Luggage dropoff allowed"} | 38 | 0.4% | |
| {TV,Elevator,Heating,"Smoke detector",Essentials} | 27 | 0.3% | |
| {TV,Wifi,"Air conditioning",Kitchen,Gym,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private entrance"} | 25 | 0.3% | |
| {TV,"Cable TV","Air conditioning","Paid parking off premises",Gym,Elevator,Heating,"Family/kid friendly",Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Shampoo,"24-hour check-in",Hangers,"Hair dryer",Iron,"Self check-in","Building staff","Hot water","Luggage dropoff allowed","Paid parking on premises"} | 24 | 0.3% | |
| {TV,Wifi,Kitchen,"Pets allowed",Gym,Elevator,"Free street parking",Heating,Washer,Dryer,"Smoke detector",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Long term stays allowed","Host greets you"} | 24 | 0.3% | |
| {TV,"Cable TV",Wifi,"Air conditioning",Kitchen,"Free parking on premises","Paid parking off premises","Indoor fireplace",Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","First aid kit","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Hot water","Bed linens","Extra pillows and blankets",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"Luggage dropoff allowed","Long term stays allowed"} | 24 | 0.3% | |
| {TV,Internet,Wifi,Kitchen,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector",Essentials,Hangers,Iron,"Laptop friendly workspace","Hot water","Bed linens","Extra pillows and blankets",Microwave,"Coffee maker",Refrigerator,"Dishes and silverware","Cooking basics",Oven,Stove,"Long term stays allowed",Other} | 22 | 0.3% | |
| {TV,"Cable TV",Internet,Wifi,"Air conditioning","Wheelchair accessible",Gym,Elevator,"Hot tub",Heating,"Family/kid friendly","Smoke detector","Carbon monoxide detector",Essentials,Shampoo,"24-hour check-in",Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Self check-in","Building staff"} | 21 | 0.2% | |
| {TV,"Cable TV",Wifi,Kitchen,"Pets allowed",Gym,Elevator,Heating,Washer,Dryer,"Smoke detector","Carbon monoxide detector","Fire extinguisher",Essentials,Shampoo,Hangers,"Hair dryer",Iron,"Laptop friendly workspace","Private living room","Hot water","Bed linens",Microwave,"Coffee maker",Refrigerator,Dishwasher,"Dishes and silverware","Cooking basics",Oven,Stove,"BBQ grill","Patio or balcony","Long term stays allowed","Host greets you","Paid parking on premises"} | 21 | 0.2% | |
| Other values (7161) | 8246 | 96.6% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1402 |
|---|---|
| Mean length | 401.2942693 |
| Min length | 2 |
| Distinct count | 31 |
|---|---|
| Unique (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.96636587 |
|---|---|
| Minimum | 0 |
| Maximum | 30 |
| Zeros | 2913 |
| Zeros (%) | 34.1% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 8 |
| Q3 | 21 |
| 95-th percentile | 30 |
| Maximum | 30 |
| Range | 30 |
| Interquartile range (IQR) | 21 |
Descriptive statistics
| Standard deviation | 11.24610339 |
|---|---|
| Coefficient of variation (CV) | 1.02550868 |
| Kurtosis | -1.2768363 |
| Mean | 10.96636587 |
| Median Absolute Deviation (MAD) | 10.0300827 |
| Skewness | 0.5165802468 |
| Sum | 93576 |
| Variance | 126.4748414 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 2.5 3.5 ... 23.5 26.5 28.5 29.5 30. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 2913 | 34.1% | |
| 30 | 786 | 9.2% | |
| 29 | 373 | 4.4% | |
| 2 | 304 | 3.6% | |
| 1 | 225 | 2.6% | |
| 13 | 202 | 2.4% | |
| 3 | 200 | 2.3% | |
| 12 | 193 | 2.3% | |
| 28 | 186 | 2.2% | |
| 23 | 185 | 2.2% | |
| Other values (21) | 2966 | 34.8% |
| Value | Count | Frequency (%) | |
| 0 | 2913 | 34.1% | |
| 1 | 225 | 2.6% | |
| 2 | 304 | 3.6% | |
| 3 | 200 | 2.3% | |
| 4 | 166 | 1.9% |
| Value | Count | Frequency (%) | |
| 30 | 786 | 9.2% | |
| 29 | 373 | 4.4% | |
| 28 | 186 | 2.2% | |
| 27 | 139 | 1.6% | |
| 26 | 75 | 0.9% |
| Distinct count | 366 |
|---|---|
| Unique (%) | 4.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 151.997539 |
|---|---|
| Minimum | 0 |
| Maximum | 365 |
| Zeros | 1610 |
| Zeros (%) | 18.9% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 13 |
| median | 112 |
| Q3 | 304 |
| 95-th percentile | 365 |
| Maximum | 365 |
| Range | 365 |
| Interquartile range (IQR) | 291 |
Descriptive statistics
| Standard deviation | 136.8585532 |
|---|---|
| Coefficient of variation (CV) | 0.9003997969 |
| Kurtosis | -1.440090134 |
| Mean | 151.997539 |
| Median Absolute Deviation (MAD) | 122.8131565 |
| Skewness | 0.362371116 |
| Sum | 1296995 |
| Variance | 18730.26359 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 10.5 30.5 ... 338.5 345.5 363.5 364.5 365. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 1610 | 18.9% | |
| 365 | 490 | 5.7% | |
| 364 | 161 | 1.9% | |
| 1 | 106 | 1.2% | |
| 90 | 97 | 1.1% | |
| 179 | 88 | 1.0% | |
| 180 | 87 | 1.0% | |
| 337 | 84 | 1.0% | |
| 88 | 79 | 0.9% | |
| 89 | 71 | 0.8% | |
| Other values (356) | 5660 | 66.3% |
| Value | Count | Frequency (%) | |
| 0 | 1610 | 18.9% | |
| 1 | 106 | 1.2% | |
| 2 | 43 | 0.5% | |
| 3 | 50 | 0.6% | |
| 4 | 53 | 0.6% |
| Value | Count | Frequency (%) | |
| 365 | 490 | 5.7% | |
| 364 | 161 | 1.9% | |
| 363 | 47 | 0.6% | |
| 362 | 44 | 0.5% | |
| 361 | 21 | 0.2% |
| Distinct count | 61 |
|---|---|
| Unique (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.39317942 |
|---|---|
| Minimum | 0 |
| Maximum | 60 |
| Zeros | 2325 |
| Zeros (%) | 27.2% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 24 |
| Q3 | 46 |
| 95-th percentile | 60 |
| Maximum | 60 |
| Range | 60 |
| Interquartile range (IQR) | 46 |
Descriptive statistics
| Standard deviation | 22.50899149 |
|---|---|
| Coefficient of variation (CV) | 0.8864187945 |
| Kurtosis | -1.473916483 |
| Mean | 25.39317942 |
| Median Absolute Deviation (MAD) | 20.27680898 |
| Skewness | 0.2225403767 |
| Sum | 216680 |
| Variance | 506.654698 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 4.5 26.5 ... 53.5 56.5 58.5 59.5 60. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 2325 | 27.2% | |
| 60 | 706 | 8.3% | |
| 59 | 341 | 4.0% | |
| 1 | 210 | 2.5% | |
| 32 | 207 | 2.4% | |
| 58 | 141 | 1.7% | |
| 53 | 127 | 1.5% | |
| 43 | 123 | 1.4% | |
| 28 | 118 | 1.4% | |
| 33 | 118 | 1.4% | |
| Other values (51) | 4117 | 48.2% |
| Value | Count | Frequency (%) | |
| 0 | 2325 | 27.2% | |
| 1 | 210 | 2.5% | |
| 2 | 111 | 1.3% | |
| 3 | 85 | 1.0% | |
| 4 | 87 | 1.0% |
| Value | Count | Frequency (%) | |
| 60 | 706 | 8.3% | |
| 59 | 341 | 4.0% | |
| 58 | 141 | 1.7% | |
| 57 | 95 | 1.1% | |
| 56 | 51 | 0.6% |
| Distinct count | 91 |
|---|---|
| Unique (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 41.70959803 |
|---|---|
| Minimum | 0 |
| Maximum | 90 |
| Zeros | 2055 |
| Zeros (%) | 24.1% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 44 |
| Q3 | 75 |
| 95-th percentile | 90 |
| Maximum | 90 |
| Range | 90 |
| Interquartile range (IQR) | 74 |
Descriptive statistics
| Standard deviation | 34.47355466 |
|---|---|
| Coefficient of variation (CV) | 0.8265137112 |
| Kurtosis | -1.58715656 |
| Mean | 41.70959803 |
| Median Absolute Deviation (MAD) | 31.56083004 |
| Skewness | 0.0389093125 |
| Sum | 355908 |
| Variance | 1188.425971 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 4.5 10.5 ... 86.5 87.5 88.5 89.5 90. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 2055 | 24.1% | |
| 90 | 693 | 8.1% | |
| 89 | 326 | 3.8% | |
| 62 | 178 | 2.1% | |
| 88 | 141 | 1.7% | |
| 1 | 132 | 1.5% | |
| 83 | 118 | 1.4% | |
| 31 | 111 | 1.3% | |
| 73 | 110 | 1.3% | |
| 77 | 101 | 1.2% | |
| Other values (81) | 4568 | 53.5% |
| Value | Count | Frequency (%) | |
| 0 | 2055 | 24.1% | |
| 1 | 132 | 1.5% | |
| 2 | 97 | 1.1% | |
| 3 | 83 | 1.0% | |
| 4 | 78 | 0.9% |
| Value | Count | Frequency (%) | |
| 90 | 693 | 8.1% | |
| 89 | 326 | 3.8% | |
| 88 | 141 | 1.7% | |
| 87 | 91 | 1.1% | |
| 86 | 52 | 0.6% |
bathrooms
Real number (ℝ≥0)
| Distinct count | 19 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 5 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.403494371 |
|---|---|
| Minimum | 0.0 |
| Maximum | 14.0 |
| Zeros | 27 |
| Zeros (%) | 0.3% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1.5 |
| 95-th percentile | 3 |
| Maximum | 14 |
| Range | 14 |
| Interquartile range (IQR) | 0.5 |
Descriptive statistics
| Standard deviation | 0.9312333119 |
|---|---|
| Coefficient of variation (CV) | 0.6635105425 |
| Kurtosis | 29.20808809 |
| Mean | 1.403494371 |
| Median Absolute Deviation (MAD) | 0.5794968467 |
| Skewness | 4.371187794 |
| Sum | 11969 |
| Variance | 0.8671954811 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 5983 | 70.1% | |
| 2 | 1160 | 13.6% | |
| 1.5 | 592 | 6.9% | |
| 2.5 | 239 | 2.8% | |
| 3 | 171 | 2.0% | |
| 5 | 122 | 1.4% | |
| 4 | 82 | 1.0% | |
| 3.5 | 67 | 0.8% | |
| 0 | 27 | 0.3% | |
| 10 | 23 | 0.3% | |
| Other values (8) | 62 | 0.7% |
| Value | Count | Frequency (%) | |
| 0 | 27 | 0.3% | |
| 0.5 | 21 | 0.2% | |
| 1 | 5983 | 70.1% | |
| 1.5 | 592 | 6.9% | |
| 2 | 1160 | 13.6% |
| Value | Count | Frequency (%) | |
| 14 | 1 | < 0.1% | |
| 10 | 23 | 0.3% | |
| 8 | 9 | 0.1% | |
| 7 | 5 | 0.1% | |
| 6.5 | 1 | < 0.1% |
bed_type
Categorical
| Distinct count | 5 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| Real Bed | |
|---|---|
| Futon | 32 |
| Pull-out Sofa | 21 |
| Airbed | 12 |
| Couch | 7 |
| Value | Count | Frequency (%) | |
| Real Bed | 8461 | 99.2% | |
| Futon | 32 | 0.4% | |
| Pull-out Sofa | 21 | 0.2% | |
| Airbed | 12 | 0.1% | |
| Couch | 7 | 0.1% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 13 |
|---|---|
| Mean length | 7.995781085 |
| Min length | 5 |
| Distinct count | 13 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 3 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.33880422 |
|---|---|
| Minimum | 0.0 |
| Maximum | 16.0 |
| Zeros | 864 |
| Zeros (%) | 10.1% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 16 |
| Range | 16 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.9272300869 |
|---|---|
| Coefficient of variation (CV) | 0.6925807917 |
| Kurtosis | 14.11420689 |
| Mean | 1.33880422 |
| Median Absolute Deviation (MAD) | 0.6835778557 |
| Skewness | 2.051452143 |
| Sum | 11420 |
| Variance | 0.8597556341 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 5191 | 60.8% | |
| 2 | 1534 | 18.0% | |
| 0 | 864 | 10.1% | |
| 3 | 693 | 8.1% | |
| 4 | 197 | 2.3% | |
| 5 | 36 | 0.4% | |
| 6 | 10 | 0.1% | |
| 9 | 1 | < 0.1% | |
| 16 | 1 | < 0.1% | |
| 8 | 1 | < 0.1% | |
| Other values (2) | 2 | < 0.1% | |
| (Missing) | 3 | < 0.1% |
| Value | Count | Frequency (%) | |
| 0 | 864 | 10.1% | |
| 1 | 5191 | 60.8% | |
| 2 | 1534 | 18.0% | |
| 3 | 693 | 8.1% | |
| 4 | 197 | 2.3% |
| Value | Count | Frequency (%) | |
| 16 | 1 | < 0.1% | |
| 14 | 1 | < 0.1% | |
| 9 | 1 | < 0.1% | |
| 8 | 1 | < 0.1% | |
| 7 | 1 | < 0.1% |
| Distinct count | 16 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 12 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.726323202 |
|---|---|
| Minimum | 0.0 |
| Maximum | 14.0 |
| Zeros | 184 |
| Zeros (%) | 2.2% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 4 |
| Maximum | 14 |
| Range | 14 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.187166593 |
|---|---|
| Coefficient of variation (CV) | 0.6876850128 |
| Kurtosis | 9.552043718 |
| Mean | 1.726323202 |
| Median Absolute Deviation (MAD) | 0.8746105513 |
| Skewness | 2.333403301 |
| Sum | 14710 |
| Variance | 1.409364519 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 4693 | 55.0% | |
| 2 | 2117 | 24.8% | |
| 3 | 836 | 9.8% | |
| 4 | 428 | 5.0% | |
| 0 | 184 | 2.2% | |
| 5 | 147 | 1.7% | |
| 6 | 50 | 0.6% | |
| 7 | 33 | 0.4% | |
| 8 | 22 | 0.3% | |
| 9 | 3 | < 0.1% | |
| Other values (5) | 8 | 0.1% | |
| (Missing) | 12 | 0.1% |
| Value | Count | Frequency (%) | |
| 0 | 184 | 2.2% | |
| 1 | 4693 | 55.0% | |
| 2 | 2117 | 24.8% | |
| 3 | 836 | 9.8% | |
| 4 | 428 | 5.0% |
| Value | Count | Frequency (%) | |
| 14 | 2 | < 0.1% | |
| 13 | 1 | < 0.1% | |
| 12 | 1 | < 0.1% | |
| 11 | 1 | < 0.1% | |
| 10 | 3 | < 0.1% |
| Distinct count | 41 |
|---|---|
| Unique (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 27.76081097 |
|---|---|
| Minimum | 1 |
| Maximum | 254 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 11 |
| 95-th percentile | 253 |
| Maximum | 254 |
| Range | 253 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 66.02840814 |
|---|---|
| Coefficient of variation (CV) | 2.378475478 |
| Kurtosis | 6.375039265 |
| Mean | 27.76081097 |
| Median Absolute Deviation (MAD) | 39.37380245 |
| Skewness | 2.805812296 |
| Sum | 236883 |
| Variance | 4359.750682 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 1.5 2.5 3.5 4.5 ... 87.5 152.5 228.5 253.5 254. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 1 | 3258 | 38.2% | |
| 2 | 1292 | 15.1% | |
| 3 | 609 | 7.1% | |
| 4 | 432 | 5.1% | |
| 5 | 340 | 4.0% | |
| 254 | 254 | 3.0% | |
| 253 | 253 | 3.0% | |
| 204 | 204 | 2.4% | |
| 35 | 105 | 1.2% | |
| 26 | 104 | 1.2% | |
| Other values (31) | 1682 | 19.7% |
| Value | Count | Frequency (%) | |
| 1 | 3258 | 38.2% | |
| 2 | 1292 | 15.1% | |
| 3 | 609 | 7.1% | |
| 4 | 432 | 5.1% | |
| 5 | 340 | 4.0% |
| Value | Count | Frequency (%) | |
| 254 | 254 | 3.0% | |
| 253 | 253 | 3.0% | |
| 204 | 204 | 2.4% | |
| 101 | 101 | 1.2% | |
| 74 | 74 | 0.9% |
| Distinct count | 25 |
|---|---|
| Unique (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21.3816946 |
|---|---|
| Minimum | 0 |
| Maximum | 254 |
| Zeros | 2603 |
| Zeros (%) | 30.5% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 204 |
| Maximum | 254 |
| Range | 254 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 58.98702033 |
|---|---|
| Coefficient of variation (CV) | 2.758762645 |
| Kurtosis | 7.529329031 |
| Mean | 21.3816946 |
| Median Absolute Deviation (MAD) | 34.46352709 |
| Skewness | 2.972370535 |
| Sum | 182450 |
| Variance | 3479.468568 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 2.5 3.5 ... 31.5 38. 133. 229. 254. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 1 | 3353 | 39.3% | |
| 0 | 2603 | 30.5% | |
| 2 | 654 | 7.7% | |
| 254 | 254 | 3.0% | |
| 166 | 253 | 3.0% | |
| 204 | 204 | 2.4% | |
| 3 | 196 | 2.3% | |
| 4 | 116 | 1.4% | |
| 100 | 101 | 1.2% | |
| 11 | 100 | 1.2% | |
| Other values (15) | 699 | 8.2% |
| Value | Count | Frequency (%) | |
| 0 | 2603 | 30.5% | |
| 1 | 3353 | 39.3% | |
| 2 | 654 | 7.7% | |
| 3 | 196 | 2.3% | |
| 4 | 116 | 1.4% |
| Value | Count | Frequency (%) | |
| 254 | 254 | 3.0% | |
| 204 | 204 | 2.4% | |
| 166 | 253 | 3.0% | |
| 100 | 101 | 1.2% | |
| 74 | 74 | 0.9% |
| Distinct count | 28 |
|---|---|
| Unique (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.352045002 |
|---|---|
| Minimum | 0 |
| Maximum | 87 |
| Zeros | 4439 |
| Zeros (%) | 52.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 2 |
| 95-th percentile | 31 |
| Maximum | 87 |
| Range | 87 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 15.8752331 |
|---|---|
| Coefficient of variation (CV) | 2.966199479 |
| Kurtosis | 18.27237758 |
| Mean | 5.352045002 |
| Median Absolute Deviation (MAD) | 7.849692817 |
| Skewness | 4.26190507 |
| Sum | 45669 |
| Variance | 252.0230259 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 2.5 3.5 ... 30. 32.5 42.5 66.5 87. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 4439 | 52.0% | |
| 1 | 1448 | 17.0% | |
| 2 | 584 | 6.8% | |
| 3 | 465 | 5.4% | |
| 87 | 253 | 3.0% | |
| 4 | 237 | 2.8% | |
| 5 | 169 | 2.0% | |
| 9 | 80 | 0.9% | |
| 31 | 78 | 0.9% | |
| 6 | 77 | 0.9% | |
| Other values (18) | 703 | 8.2% |
| Value | Count | Frequency (%) | |
| 0 | 4439 | 52.0% | |
| 1 | 1448 | 17.0% | |
| 2 | 584 | 6.8% | |
| 3 | 465 | 5.4% | |
| 4 | 237 | 2.8% |
| Value | Count | Frequency (%) | |
| 87 | 253 | 3.0% | |
| 46 | 46 | 0.5% | |
| 39 | 46 | 0.5% | |
| 34 | 37 | 0.4% | |
| 31 | 78 | 0.9% |
| Distinct count | 19 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.6750263682 |
|---|---|
| Minimum | 0 |
| Maximum | 26 |
| Zeros | 8041 |
| Zeros (%) | 94.2% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 26 |
| Range | 26 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 3.354536085 |
|---|---|
| Coefficient of variation (CV) | 4.96948896 |
| Kurtosis | 33.78646235 |
| Mean | 0.6750263682 |
| Median Absolute Deviation (MAD) | 1.272210718 |
| Skewness | 5.70986881 |
| Sum | 5760 |
| Variance | 11.25291234 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 6. 8.5 15. 21. 26. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 8041 | 94.2% | |
| 1 | 56 | 0.7% | |
| 8 | 52 | 0.6% | |
| 7 | 46 | 0.5% | |
| 23 | 45 | 0.5% | |
| 26 | 43 | 0.5% | |
| 14 | 28 | 0.3% | |
| 16 | 25 | 0.3% | |
| 4 | 24 | 0.3% | |
| 2 | 24 | 0.3% | |
| Other values (9) | 149 | 1.7% |
| Value | Count | Frequency (%) | |
| 0 | 8041 | 94.2% | |
| 1 | 56 | 0.7% | |
| 2 | 24 | 0.3% | |
| 3 | 12 | 0.1% | |
| 4 | 24 | 0.3% |
| Value | Count | Frequency (%) | |
| 26 | 43 | 0.5% | |
| 23 | 45 | 0.5% | |
| 22 | 22 | 0.3% | |
| 20 | 20 | 0.2% | |
| 16 | 25 | 0.3% |
| Distinct count | 2 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| 12/4/19 | |
|---|---|
| 12/5/19 | 195 |
| Value | Count | Frequency (%) | |
| 12/4/19 | 8338 | 97.7% | |
| 12/5/19 | 195 | 2.3% |
Composition
| Contains chars | False |
|---|---|
| Contains digits | True |
| Contains whitespace | False |
| Contains non-words | True |
Length
| Max length | 7 |
|---|---|
| Mean length | 7 |
| Min length | 7 |
| Distinct count | 66 |
|---|---|
| Unique (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| today | |
|---|---|
| 2 weeks ago | 787 |
| 3 months ago | 650 |
| 3 weeks ago | 617 |
| a week ago | 593 |
| Other values (61) |
| Value | Count | Frequency (%) | |
| today | 1449 | 17.0% | |
| 2 weeks ago | 787 | 9.2% | |
| 3 months ago | 650 | 7.6% | |
| 3 weeks ago | 617 | 7.2% | |
| a week ago | 593 | 6.9% | |
| 2 months ago | 583 | 6.8% | |
| yesterday | 437 | 5.1% | |
| 4 weeks ago | 390 | 4.6% | |
| 5 weeks ago | 353 | 4.1% | |
| 6 weeks ago | 303 | 3.6% | |
| Other values (56) | 2371 | 27.8% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 13 |
|---|---|
| Mean length | 10.08144849 |
| Min length | 5 |
cancellation_policy
Categorical
| Distinct count | 6 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| strict_14_with_grace_period | |
|---|---|
| moderate | |
| flexible | |
| strict | 112 |
| super_strict_30 | 47 |
| Value | Count | Frequency (%) | |
| strict_14_with_grace_period | 3765 | 44.1% | |
| moderate | 2705 | 31.7% | |
| flexible | 1885 | 22.1% | |
| strict | 112 | 1.3% | |
| super_strict_30 | 47 | 0.6% | |
| super_strict_60 | 19 | 0.2% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | False |
| Contains non-words | False |
Length
| Max length | 27 |
|---|---|
| Mean length | 16.411227 |
| Min length | 6 |
city
Categorical
| Distinct count | 13 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 10 |
| Missing (%) | 0.1% |
| Memory size | 66.7 KiB |
| San Francisco | |
|---|---|
| Daly City | 41 |
| San Francisco | 3 |
| South San Francisco | 1 |
| Daily city | 1 |
| Other values (7) | 7 |
| Value | Count | Frequency (%) | |
| San Francisco | 8470 | 99.3% | |
| Daly City | 41 | 0.5% | |
| San Francisco | 3 | < 0.1% | |
| South San Francisco | 1 | < 0.1% | |
| Daily city | 1 | < 0.1% | |
| Noe Valley - San Francisco | 1 | < 0.1% | |
| Brisbane | 1 | < 0.1% | |
| San Fàncisco | 1 | < 0.1% | |
| Nor cal | 1 | < 0.1% | |
| San Francisco, Hayes Valley | 1 | < 0.1% | |
| Other values (2) | 2 | < 0.1% | |
| (Missing) | 10 | 0.1% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 27 |
|---|---|
| Mean length | 12.97117075 |
| Min length | 3 |
| Distinct count | 195 |
|---|---|
| Unique (%) | 2.3% |
| Missing | 959 |
| Missing (%) | 11.2% |
| Memory size | 66.7 KiB |
| $100.00 | 754 |
|---|---|
| $150.00 | 543 |
| $0.00 | 501 |
| $50.00 | 465 |
| $75.00 | 345 |
| Other values (189) |
| Value | Count | Frequency (%) | |
| $100.00 | 754 | 8.8% | |
| $150.00 | 543 | 6.4% | |
| $0.00 | 501 | 5.9% | |
| $50.00 | 465 | 5.4% | |
| $75.00 | 345 | 4.0% | |
| $200.00 | 293 | 3.4% | |
| $30.00 | 287 | 3.4% | |
| $95.00 | 269 | 3.2% | |
| $125.00 | 264 | 3.1% | |
| $25.00 | 232 | 2.7% | |
| Other values (184) | 3621 | 42.4% | |
| (Missing) | 959 | 11.2% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 8 |
|---|---|
| Mean length | 6.90355092 |
| Min length | 3 |
| Distinct count | 1 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| United States |
|---|
| Value | Count | Frequency (%) | |
| United States | 8533 | 100.0% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 13 |
|---|---|
| Mean length | 13 |
| Min length | 13 |
| Distinct count | 1 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| US |
|---|
| Value | Count | Frequency (%) | |
| US | 8533 | 100.0% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | False |
| Contains non-words | False |
Length
| Max length | 2 |
|---|---|
| Mean length | 2 |
| Min length | 2 |
| Distinct count | 7495 |
|---|---|
| Unique (%) | 87.8% |
| Missing | 41 |
| Missing (%) | 0.5% |
| Memory size | 66.7 KiB |
| At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. Enjoy a stay with Zeus! We have 1375+ reviews (see below). At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. | 50 |
|---|---|
| A hip laid back place to stay in downtown San Francisco with a great location! | 43 |
| An urban oasis awaits. Your comfortable hotel room is close to Moscone Center and provides the ease of a hotel stay for the discerning business traveler. Larger room than usual in San Francisco. Friendly onsite staff ready to help 24/7. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. Microwave and mini fridge in each room. Queen size bed and full private bathroom. Bag storage at front desk before and after your stay. Offering the lowest rates for a business class hotel near Moscone Center. ***Three night minimum stay during peak weeks. I would be thrilled to host you, book now! A comfortable urban oasis in a full service hotel. This hotel room provides a queen size bed and full private bathroom. Ground floor amenities include a pleasant lobby complete with a cozy fireplace, a guest laundry room, and a fully equipped exercise room. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. On-site staff are on duty to | 38 |
| Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Fresh towels and bathroom essentials provided - Hotel-standard cleaning before you arrive - Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport The Tenderloin District is situated between the Union Square shopping district and the Civic Center office district. Known for its art | 37 |
| The Donatello is a timeshare/hotel which is one of the top hotels in San Francisco. Just show up and check in like any other hotel, no arranging to get keys necessary. - 1 KING BED and 1 QUEEN SLEEPER SOFA - Parking: $32 per night DESCRIPTION With 400 square feet of space and 10 foot ceilings, these rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including wet-bar and sink, compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. No rollaways are available. Services & Amenities: Spacious studio accommodations 24-hour front desk Concierge services Intimate Italian dining at Zingari Ristorante Indoor valet parking ($32 per night, unlimited in and out privileges) Meeting facilities Dry cleaning services (fee) Rooftop deck Fireplace Exercise facility (7AM - 1030PM) Hot tub Sauna Spa services (fee) ATM machine Interne | 28 |
| Other values (7489) |
| Value | Count | Frequency (%) | |
| At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. Enjoy a stay with Zeus! We have 1375+ reviews (see below). At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. | 50 | 0.6% | |
| A hip laid back place to stay in downtown San Francisco with a great location! | 43 | 0.5% | |
| An urban oasis awaits. Your comfortable hotel room is close to Moscone Center and provides the ease of a hotel stay for the discerning business traveler. Larger room than usual in San Francisco. Friendly onsite staff ready to help 24/7. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. Microwave and mini fridge in each room. Queen size bed and full private bathroom. Bag storage at front desk before and after your stay. Offering the lowest rates for a business class hotel near Moscone Center. ***Three night minimum stay during peak weeks. I would be thrilled to host you, book now! A comfortable urban oasis in a full service hotel. This hotel room provides a queen size bed and full private bathroom. Ground floor amenities include a pleasant lobby complete with a cozy fireplace, a guest laundry room, and a fully equipped exercise room. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. On-site staff are on duty to | 38 | 0.4% | |
| Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Fresh towels and bathroom essentials provided - Hotel-standard cleaning before you arrive - Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport The Tenderloin District is situated between the Union Square shopping district and the Civic Center office district. Known for its art | 37 | 0.4% | |
| The Donatello is a timeshare/hotel which is one of the top hotels in San Francisco. Just show up and check in like any other hotel, no arranging to get keys necessary. - 1 KING BED and 1 QUEEN SLEEPER SOFA - Parking: $32 per night DESCRIPTION With 400 square feet of space and 10 foot ceilings, these rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including wet-bar and sink, compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. No rollaways are available. Services & Amenities: Spacious studio accommodations 24-hour front desk Concierge services Intimate Italian dining at Zingari Ristorante Indoor valet parking ($32 per night, unlimited in and out privileges) Meeting facilities Dry cleaning services (fee) Rooftop deck Fireplace Exercise facility (7AM - 1030PM) Hot tub Sauna Spa services (fee) ATM machine Interne | 28 | 0.3% | |
| More than a house, we are a startup founders community. We host entrepreneurs, but also engineers and students who want to start their own business. Live, learn and achieve, while getting the full Silicon Valley experience! Our House is professionally cleaned twice a week. Upon booking, please introduce yourself as well as your startup (or dream) to us, thanks and welcome to our community! Why should you stay with us? The People The Startup House community attracts many talented individuals from around the world. From Stanford students, to developers and entrepreneurs, we provide each with a unique opportunity to network, connect with likeminded people or just make interesting new friends. Share experiences and engaging conversations with our guests, while learning and achieving your goals. The House Each house is conveniently furnished to guarantee you a comfortable stay. Through our 5 locations, everything is done so that you can work, relax, and study. The San Francisco Downtown S | 27 | 0.3% | |
| More than a house, we are a startup founders community. We host entrepreneurs, but also engineers and students who want to start their own business. Live, learn and achieve, while getting the full Silicon Valley experience ! This house is our latest location in San Francisco, located right next to Alamo Square Park. The house is very comfortable and full of light, and is furnished with beds and living utensils. Our House is professionally cleaned twice a week. Welcome to our community! Why should you stay with us? The People The Startup House community attracts many talented individuals from around the world. From Stanford students, to developers and entrepreneurs, we provide each with a unique opportunity to network, connect with likeminded people or just make interesting new friends. Share experiences and engaging conversations with our guests, while learning and achieving your goals. The House This house is perfectly located in SF, in a calm & high quality area. You will be in a s | 24 | 0.3% | |
| Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in - Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport The Tenderloin District is situated between the Union Square shopping district and the Civic Center office dis | 23 | 0.3% | |
| Are you a bootstrapping founder or a techie lacking a private room budget in this crazy-expensive city? Then share a room with your peers or with some other people with the same mindset. Enjoy the community and a friendly, safe, and welcoming environment without breaking your piggy bank. The ideal landing pad for entrepreneurs and other builders/hustlers in San Francisco! For more information about our houses feel free to check: (Website hidden by Airbnb) Our space is designed as a landing pad for entrepreneurs, designers, engineers, innovators, and other creative minds from the broader startup community. We offer a great community and a space that allows our members to live in the exciting, friendly, clean, and safe environment they deserve. A quick fyi: just like an Hotel, when you book with us, you don't chose a specific room. We have several categories depending on how many beds the room has, it's square footage, and the size of the bed. Each listing in our Airbnb account show | 19 | 0.2% | |
| This incredible one bedroom condo is available for rent at an affordable price! The Wyndham Canterbury at San Francisco is located at the heart of downtown San Francisco. This resort is within walking distance of shops, restaurants and bars at Union Square, an two blocks from the city's world famous car system. The car system can take you to the golden gate bridge, fisherman's wharf, and china town. The resort has a fitness center, computer room, and game room. The condo available for rent is a one bedroom condo. The condo comes with a partial kitchen with an electric skillet, microwave, refrigerator, cookware and dishes. In the bedroom there is a queen size bed, flat screen TV and a bathroom. The living room has a couch that turns into a queen size sofa sleeper with a flat screen TV. There are complimentary laundry rooms on each floor of the resort building. The Wyndham Canterbury at San Francisco resort front desk requires a credit card authorization of $150.00 upon check in. The r | 18 | 0.2% | |
| Other values (7484) | 8185 | 95.9% | |
| (Missing) | 41 | 0.5% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1000 |
|---|---|
| Mean length | 888.40818 |
| Min length | 3 |
| Distinct count | 1 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| none |
|---|
| Value | Count | Frequency (%) | |
| none | 8533 | 100.0% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | False |
| Contains non-words | False |
Length
| Max length | 4 |
|---|---|
| Mean length | 4 |
| Min length | 4 |
| Distinct count | 81 |
|---|---|
| Unique (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| $0.00 | |
|---|---|
| $25.00 | 584 |
| $50.00 | 529 |
| $20.00 | 526 |
| $5.00 | 325 |
| Other values (76) |
| Value | Count | Frequency (%) | |
| $0.00 | 4715 | 55.3% | |
| $25.00 | 584 | 6.8% | |
| $50.00 | 529 | 6.2% | |
| $20.00 | 526 | 6.2% | |
| $5.00 | 325 | 3.8% | |
| $10.00 | 292 | 3.4% | |
| $15.00 | 273 | 3.2% | |
| $30.00 | 211 | 2.5% | |
| $100.00 | 160 | 1.9% | |
| $40.00 | 139 | 1.6% | |
| Other values (71) | 779 | 9.1% |
Composition
| Contains chars | False |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 8 |
|---|---|
| Mean length | 6.433610688 |
| Min length | 6 |
| Distinct count | 2278 |
|---|---|
| Unique (%) | 26.7% |
| Missing | 1891 |
| Missing (%) | 22.2% |
| Memory size | 66.7 KiB |
| 11/22/19 | 34 |
|---|---|
| 9/28/18 | 28 |
| 1/10/19 | 21 |
| 3/8/19 | 16 |
| 8/11/19 | 15 |
| Other values (2272) |
| Value | Count | Frequency (%) | |
| 11/22/19 | 34 | 0.4% | |
| 9/28/18 | 28 | 0.3% | |
| 1/10/19 | 21 | 0.2% | |
| 3/8/19 | 16 | 0.2% | |
| 8/11/19 | 15 | 0.2% | |
| 8/31/19 | 15 | 0.2% | |
| 10/7/16 | 14 | 0.2% | |
| 8/17/19 | 14 | 0.2% | |
| 3/31/19 | 14 | 0.2% | |
| 6/25/17 | 14 | 0.2% | |
| Other values (2267) | 6457 | 75.7% | |
| (Missing) | 1891 | 22.2% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | False |
| Contains non-words | True |
Length
| Max length | 8 |
|---|---|
| Mean length | 6.056135005 |
| Min length | 3 |
guests_included
Real number (ℝ≥0)
| Distinct count | 12 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.702097738 |
|---|---|
| Minimum | 1 |
| Maximum | 16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 4 |
| Maximum | 16 |
| Range | 15 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.327286413 |
|---|---|
| Coefficient of variation (CV) | 0.7797944757 |
| Kurtosis | 10.19839316 |
| Mean | 1.702097738 |
| Median Absolute Deviation (MAD) | 0.9152859768 |
| Skewness | 2.741916893 |
| Sum | 14524 |
| Variance | 1.761689223 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 1. 1.5 2.5 3.5 4.5 ... 6.5 7.5 8.5 11. 16. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 1 | 5562 | 65.2% | |
| 2 | 1784 | 20.9% | |
| 4 | 586 | 6.9% | |
| 3 | 218 | 2.6% | |
| 6 | 204 | 2.4% | |
| 5 | 95 | 1.1% | |
| 8 | 49 | 0.6% | |
| 7 | 19 | 0.2% | |
| 9 | 6 | 0.1% | |
| 10 | 5 | 0.1% | |
| Other values (2) | 5 | 0.1% |
| Value | Count | Frequency (%) | |
| 1 | 5562 | 65.2% | |
| 2 | 1784 | 20.9% | |
| 3 | 218 | 2.6% | |
| 4 | 586 | 6.9% | |
| 5 | 95 | 1.1% |
| Value | Count | Frequency (%) | |
| 16 | 2 | < 0.1% | |
| 12 | 3 | < 0.1% | |
| 10 | 5 | 0.1% | |
| 9 | 6 | 0.1% | |
| 8 | 49 | 0.6% |
| Distinct count | 1 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| t |
|---|
| Value | Count | Frequency (%) | |
| t | 8533 | 100.0% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | False |
| Contains non-words | False |
Length
| Max length | 1 |
|---|---|
| Mean length | 1 |
| Min length | 1 |
| Distinct count | 3154 |
|---|---|
| Unique (%) | 37.0% |
| Missing | 2155 |
| Missing (%) | 25.3% |
| Memory size | 66.7 KiB |
| Sonder is reimagining the way people travel. Now in 20+ cities, we’ve been featured in The New York Times, The Wall Street Journal, and named 2019’s most innovative hospitality brand by Fast Company. We’ve taken the best parts of home and hotel and combined them into an entirely new experience. All of our spaces are uniquely designed, have 24/7 guest support, and contain all the essentials you need for an impeccable stay. No matter what you’re looking for, there’s a Sonder for you. | 261 |
|---|---|
| Zeus is reinventing corporate housing. We do this by providing a unique, hassle-free, and high-quality housing experience in each of our 1,400+ homes throughout the San Francisco Bay Area, Los Angeles, Washington DC, and Seattle, New York City. All of our places are expertly furnished and come with everything set up for you on day one. We specialize in business stays of 30 days or longer and welcome anyone who wants to call Zeus home: entrepreneurs, healthcare professionals, interns, relocating families, and international travelers alike. Book a place and try us out! | 254 |
| Blueground is a real estate tech company that wants to help people feel at home wherever they choose to live. The company offers beautifully furnished and thoughtfully equipped apartments for a month, a year, or even longer that are designed to help people simply show up and start living. Motivated by its mission to create a tech-powered living experience that guests love, homed in an organization where great people are proud to work, Blueground has grown quickly, surpassing 2,800 apartments and 400 team members in nine cities; New York, Los Angeles, San Francisco, Boston, Chicago, Washington D.C., Dubai, Istanbul and Athens. Blueground plans to have a presence in 50 cities around the world and a portfolio of more than 50,000 apartments by 2023. | 204 |
| We are a small company in San Francisco that owns a portfolio of buildings and specializes in short-term furnished rentals. We offer a great alternative to a hotel stay at the fraction of the cost. Our apartments are in iconic SF neighborhoods that will allow you to get a real SF experience. | 101 |
| Hello! My name is Sheena. I'm currently residing in San Francisco, CA. I love traveling and equally love playing tour guide to friends and family in this city. | 74 |
| Other values (3148) |
| Value | Count | Frequency (%) | |
| Sonder is reimagining the way people travel. Now in 20+ cities, we’ve been featured in The New York Times, The Wall Street Journal, and named 2019’s most innovative hospitality brand by Fast Company. We’ve taken the best parts of home and hotel and combined them into an entirely new experience. All of our spaces are uniquely designed, have 24/7 guest support, and contain all the essentials you need for an impeccable stay. No matter what you’re looking for, there’s a Sonder for you. | 261 | 3.1% | |
| Zeus is reinventing corporate housing. We do this by providing a unique, hassle-free, and high-quality housing experience in each of our 1,400+ homes throughout the San Francisco Bay Area, Los Angeles, Washington DC, and Seattle, New York City. All of our places are expertly furnished and come with everything set up for you on day one. We specialize in business stays of 30 days or longer and welcome anyone who wants to call Zeus home: entrepreneurs, healthcare professionals, interns, relocating families, and international travelers alike. Book a place and try us out! | 254 | 3.0% | |
| Blueground is a real estate tech company that wants to help people feel at home wherever they choose to live. The company offers beautifully furnished and thoughtfully equipped apartments for a month, a year, or even longer that are designed to help people simply show up and start living. Motivated by its mission to create a tech-powered living experience that guests love, homed in an organization where great people are proud to work, Blueground has grown quickly, surpassing 2,800 apartments and 400 team members in nine cities; New York, Los Angeles, San Francisco, Boston, Chicago, Washington D.C., Dubai, Istanbul and Athens. Blueground plans to have a presence in 50 cities around the world and a portfolio of more than 50,000 apartments by 2023. | 204 | 2.4% | |
| We are a small company in San Francisco that owns a portfolio of buildings and specializes in short-term furnished rentals. We offer a great alternative to a hotel stay at the fraction of the cost. Our apartments are in iconic SF neighborhoods that will allow you to get a real SF experience. | 101 | 1.2% | |
| Hello! My name is Sheena. I'm currently residing in San Francisco, CA. I love traveling and equally love playing tour guide to friends and family in this city. | 74 | 0.9% | |
| Husband and father of two, loves travel, hiking, and reading. | 47 | 0.6% | |
| Hi, my name is Kevin. Thank you for stopping by. Welcome to my place! I moved to the San Francisco Bay Area to attend UC Berkeley and Chicago for The University of Chicago Booth Graduate School of Business. I have also lived in Cambridge, England, Prague, Berlin, Beijing, and Atlanta. I'm happy to be back in the Bay Area. It's my passion to bring together eclectic space for the business traveler with the ease and comfort that a hotel provides with 24/7 front desk ready to help. I enjoy the social community of Airbnb and my guests appreciate the reliability of my place. I'm really providing hotel rooms at a big discount - compare for yourself. I would be thrilled to host you in my place, book now! Just for those who are interested, I travel frequently and believe becoming a traveler is part of living a life with meaning and purpose: Traveled with wife and daughter to nine countries and three states during three months in Summer of 2019. Incredible friends. Wonderful family memories. Amazing value. “I'LL LOOK BACK ON THIS AND SMILE BECAUASE IT WAS LIFE AND I DECIDED TO LIVE IT.” Dreams come true. Most everyone who has made a shift in their mindset to live a better life credits travel with playing a part. Travel the world and discover a better you. Take the first step. "ALL YOU NEED TO KNOW IS THAT IT IS POSSIBLE." Curating life peak experiences is a life peak experience. “THE BIGGEST ADVENTURE YOU CAN EVER TAKE IS TO LIVE THE LIFE OF YOUR DREAMS.” | 46 | 0.5% | |
| Hacknsleep,com - we create a friendly co-living environment and provide rooms for carefully chosen members in newly remodeled houses conveniently located in Silicon Valley since 2015. | 46 | 0.5% | |
| We are a collective of individuals re-thinking how we live and creating the world in which we'd like to live. | 43 | 0.5% | |
| I love my family, without them nothing would be the same! San Francisco is such an amazing city surrounded by history, unique culture and special events throughout the whole year, and I want to make sure my guests enjoy their stay as much as possible! My favorite places in the world are San Francisco, Menorca, Barcelona and a place I haven't been yet. I love the Mediterranean sea and all related with water. My motto is: If you can dream it, you can do it! | 41 | 0.5% | |
| Other values (3143) | 5261 | 61.7% | |
| (Missing) | 2155 | 25.3% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 6395 |
|---|---|
| Mean length | 312.2134068 |
| Min length | 1 |
host_has_profile_pic
Boolean
| Distinct count | 3 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 54 |
| Missing (%) | 0.6% |
| Memory size | 66.7 KiB |
| t | |
|---|---|
| f | 43 |
| (Missing) | 54 |
| Value | Count | Frequency (%) | |
| t | 8436 | 98.9% | |
| f | 43 | 0.5% | |
| (Missing) | 54 | 0.6% |
host_id
Real number (ℝ≥0)
| Distinct count | 4399 |
|---|---|
| Unique (%) | 51.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 67734389.01 |
|---|---|
| Minimum | 28 |
| Maximum | 313682675 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 28 |
|---|---|
| 5-th percentile | 338547.4 |
| Q1 | 4430421 |
| median | 23741447 |
| Q3 | 107434423 |
| 95-th percentile | 263502162 |
| Maximum | 313682675 |
| Range | 313682647 |
| Interquartile range (IQR) | 103004002 |
Descriptive statistics
| Standard deviation | 86061537.7 |
|---|---|
| Coefficient of variation (CV) | 1.270573765 |
| Kurtosis | 0.4509463261 |
| Mean | 67734389.01 |
| Median Absolute Deviation (MAD) | 69657670.59 |
| Skewness | 1.311265416 |
| Sum | 5.779775415e+11 |
| Variance | 7.406588271e+15 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[2.80000000e+01 2.18070000e+04 2.37465000e+04 2.66215000e+04 2.69945000e+04 ... 3.05345844e+08 3.07107120e+08 3.07163806e+08 3.09449735e+08 3.13682675e+08], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 48005494 | 254 | 3.0% | |
| 219930816 | 253 | 3.0% | |
| 107434423 | 204 | 2.4% | |
| 4430421 | 101 | 1.2% | |
| 103340667 | 74 | 0.9% | |
| 70722023 | 47 | 0.6% | |
| 267895362 | 46 | 0.5% | |
| 262211596 | 46 | 0.5% | |
| 269218344 | 45 | 0.5% | |
| 117141107 | 43 | 0.5% | |
| Other values (4389) | 7420 | 87.0% |
| Value | Count | Frequency (%) | |
| 28 | 1 | < 0.1% | |
| 46 | 1 | < 0.1% | |
| 470 | 1 | < 0.1% | |
| 1169 | 1 | < 0.1% | |
| 4921 | 3 | < 0.1% |
| Value | Count | Frequency (%) | |
| 313682675 | 2 | < 0.1% | |
| 313232693 | 1 | < 0.1% | |
| 311302307 | 1 | < 0.1% | |
| 311034766 | 1 | < 0.1% | |
| 310751503 | 1 | < 0.1% |
host_identity_verified
Boolean
| Distinct count | 3 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 54 |
| Missing (%) | 0.6% |
| Memory size | 66.7 KiB |
| t | |
|---|---|
| f | |
| (Missing) | 54 |
| Value | Count | Frequency (%) | |
| t | 4285 | 50.2% | |
| f | 4194 | 49.2% | |
| (Missing) | 54 | 0.6% |
host_is_superhost
Boolean
| Distinct count | 3 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 54 |
| Missing (%) | 0.6% |
| Memory size | 66.7 KiB |
| f | |
|---|---|
| t | |
| (Missing) | 54 |
| Value | Count | Frequency (%) | |
| f | 4936 | 57.8% | |
| t | 3543 | 41.5% | |
| (Missing) | 54 | 0.6% |
| Distinct count | 73 |
|---|---|
| Unique (%) | 0.9% |
| Missing | 54 |
| Missing (%) | 0.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 101.5240005 |
|---|---|
| Minimum | 0.0 |
| Maximum | 1768.0 |
| Zeros | 497 |
| Zeros (%) | 5.8% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 16 |
| 95-th percentile | 1068 |
| Maximum | 1768 |
| Range | 1768 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 340.8117852 |
|---|---|
| Coefficient of variation (CV) | 3.356957799 |
| Kurtosis | 15.75472628 |
| Mean | 101.5240005 |
| Median Absolute Deviation (MAD) | 163.1497383 |
| Skewness | 4.06461647 |
| Sum | 860822 |
| Variance | 116152.6729 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 2596 | 30.4% | |
| 2 | 1225 | 14.4% | |
| 3 | 632 | 7.4% | |
| 0 | 497 | 5.8% | |
| 4 | 440 | 5.2% | |
| 5 | 311 | 3.6% | |
| 1768 | 254 | 3.0% | |
| 267 | 253 | 3.0% | |
| 1068 | 204 | 2.4% | |
| 6 | 113 | 1.3% | |
| Other values (62) | 1954 | 22.9% |
| Value | Count | Frequency (%) | |
| 0 | 497 | 5.8% | |
| 1 | 2596 | 30.4% | |
| 2 | 1225 | 14.4% | |
| 3 | 632 | 7.4% | |
| 4 | 440 | 5.2% |
| Value | Count | Frequency (%) | |
| 1768 | 254 | 3.0% | |
| 1068 | 204 | 2.4% | |
| 972 | 1 | < 0.1% | |
| 838 | 8 | 0.1% | |
| 678 | 26 | 0.3% |
| Distinct count | 182 |
|---|---|
| Unique (%) | 2.1% |
| Missing | 59 |
| Missing (%) | 0.7% |
| Memory size | 66.7 KiB |
| San Francisco, California, United States | |
|---|---|
| US | 875 |
| New York, New York, United States | 254 |
| Los Angeles, California, United States | 111 |
| San Diego, California, United States | 48 |
| Other values (176) | 706 |
| Value | Count | Frequency (%) | |
| San Francisco, California, United States | 6480 | 75.9% | |
| US | 875 | 10.3% | |
| New York, New York, United States | 254 | 3.0% | |
| Los Angeles, California, United States | 111 | 1.3% | |
| San Diego, California, United States | 48 | 0.6% | |
| Calgary, Alberta, Canada | 47 | 0.6% | |
| Penn Valley, California, United States | 35 | 0.4% | |
| Tigard, Oregon, United States | 28 | 0.3% | |
| Victoria, British Columbia, Canada | 27 | 0.3% | |
| Hawthorne, New Jersey, United States | 26 | 0.3% | |
| Other values (171) | 543 | 6.4% | |
| (Missing) | 59 | 0.7% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 62 |
|---|---|
| Mean length | 34.86476034 |
| Min length | 2 |
| Distinct count | 2183 |
|---|---|
| Unique (%) | 25.6% |
| Missing | 54 |
| Missing (%) | 0.6% |
| Memory size | 66.7 KiB |
| Zeus | 254 |
|---|---|
| Sonder (San Francisco) | 253 |
| Blueground | 204 |
| Michael | 128 |
| Kevin | 112 |
| Other values (2177) |
| Value | Count | Frequency (%) | |
| Zeus | 254 | 3.0% | |
| Sonder (San Francisco) | 253 | 3.0% | |
| Blueground | 204 | 2.4% | |
| Michael | 128 | 1.5% | |
| Kevin | 112 | 1.3% | |
| Landmark | 101 | 1.2% | |
| Sheena | 74 | 0.9% | |
| David | 70 | 0.8% | |
| Jeff | 70 | 0.8% | |
| Michelle | 70 | 0.8% | |
| Other values (2172) | 7143 | 83.7% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 65 |
|---|---|
| Mean length | 6.996015469 |
| Min length | 1 |
| Distinct count | 139 |
|---|---|
| Unique (%) | 1.6% |
| Missing | 565 |
| Missing (%) | 6.6% |
| Memory size | 66.7 KiB |
| SoMa | 651 |
|---|---|
| Mission District | 609 |
| Potrero Hill | 441 |
| Noe Valley | 418 |
| Richmond District | 370 |
| Other values (133) |
| Value | Count | Frequency (%) | |
| SoMa | 651 | 7.6% | |
| Mission District | 609 | 7.1% | |
| Potrero Hill | 441 | 5.2% | |
| Noe Valley | 418 | 4.9% | |
| Richmond District | 370 | 4.3% | |
| Nob Hill | 347 | 4.1% | |
| The Castro | 346 | 4.1% | |
| Bernal Heights | 343 | 4.0% | |
| Outer Sunset | 304 | 3.6% | |
| Western Addition/NOPA | 294 | 3.4% | |
| Other values (128) | 3845 | 45.1% | |
| (Missing) | 565 | 6.6% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 31 |
|---|---|
| Mean length | 10.85409586 |
| Min length | 3 |
| Distinct count | 4361 |
|---|---|
| Unique (%) | 51.1% |
| Missing | 54 |
| Missing (%) | 0.6% |
| Memory size | 66.7 KiB |
| https://a0.muscache.com/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg?aki_policy=profile_x_medium | 254 |
|---|---|
| https://a0.muscache.com/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg?aki_policy=profile_x_medium | 253 |
| https://a0.muscache.com/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg?aki_policy=profile_x_medium | 204 |
| https://a0.muscache.com/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg?aki_policy=profile_x_medium | 101 |
| https://a0.muscache.com/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg?aki_policy=profile_x_medium | 74 |
| Other values (4355) | |
| (Missing) | 54 |
| Value | Count | Frequency (%) | |
| https://a0.muscache.com/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg?aki_policy=profile_x_medium | 254 | 3.0% | |
| https://a0.muscache.com/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg?aki_policy=profile_x_medium | 253 | 3.0% | |
| https://a0.muscache.com/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg?aki_policy=profile_x_medium | 204 | 2.4% | |
| https://a0.muscache.com/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg?aki_policy=profile_x_medium | 101 | 1.2% | |
| https://a0.muscache.com/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg?aki_policy=profile_x_medium | 74 | 0.9% | |
| https://a0.muscache.com/im/pictures/user/9a5b2af1-f324-4183-acf6-21c12e6cb07a.jpg?aki_policy=profile_x_medium | 47 | 0.6% | |
| https://a0.muscache.com/im/pictures/user/5db851ea-0c35-4c5f-860c-25a835978321.jpg?aki_policy=profile_x_medium | 46 | 0.5% | |
| https://a0.muscache.com/im/pictures/user/da842d53-11ed-4427-9979-f8260b9e05a2.jpg?aki_policy=profile_x_medium | 46 | 0.5% | |
| https://a0.muscache.com/im/pictures/user/c0f988d1-b198-47bb-88e8-c782ea61da2f.jpg?aki_policy=profile_x_medium | 45 | 0.5% | |
| https://a0.muscache.com/im/pictures/user/95075c3f-d3a5-48da-8951-aa49656b2f02.jpg?aki_policy=profile_x_medium | 43 | 0.5% | |
| Other values (4350) | 7366 | 86.3% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| https | 8479 | 99.4% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| a0.muscache.com | 8479 | 99.4% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| /im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg | 254 | 3.0% | |
| /im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg | 253 | 3.0% | |
| /im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg | 204 | 2.4% | |
| /im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg | 101 | 1.2% | |
| /im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg | 74 | 0.9% | |
| /im/pictures/user/9a5b2af1-f324-4183-acf6-21c12e6cb07a.jpg | 47 | 0.6% | |
| /im/pictures/user/5db851ea-0c35-4c5f-860c-25a835978321.jpg | 46 | 0.5% | |
| /im/pictures/user/da842d53-11ed-4427-9979-f8260b9e05a2.jpg | 46 | 0.5% | |
| /im/pictures/user/c0f988d1-b198-47bb-88e8-c782ea61da2f.jpg | 45 | 0.5% | |
| /im/pictures/user/2fe31cc2-6b82-46e3-90a6-943fdccaeb9d.jpg | 43 | 0.5% | |
| Other values (4350) | 7366 | 86.3% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| aki_policy=profile_x_medium | 8436 | 98.9% | |
| v=3 | 43 | 0.5% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| 8479 | 99.4% | ||
| (Missing) | 54 | 0.6% |
| Distinct count | 43 |
|---|---|
| Unique (%) | 0.5% |
| Missing | 1000 |
| Missing (%) | 11.7% |
| Memory size | 66.7 KiB |
| 100% | |
|---|---|
| 99% | 617 |
| 97% | 250 |
| 90% | 226 |
| 98% | 130 |
| Other values (37) | 884 |
| Value | Count | Frequency (%) | |
| 100% | 5426 | 63.6% | |
| 99% | 617 | 7.2% | |
| 97% | 250 | 2.9% | |
| 90% | 226 | 2.6% | |
| 98% | 130 | 1.5% | |
| 80% | 111 | 1.3% | |
| 83% | 75 | 0.9% | |
| 87% | 74 | 0.9% | |
| 94% | 66 | 0.8% | |
| 96% | 61 | 0.7% | |
| Other values (32) | 497 | 5.8% | |
| (Missing) | 1000 | 11.7% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | False |
| Contains non-words | True |
Length
| Max length | 4 |
|---|---|
| Mean length | 3.630844955 |
| Min length | 2 |
| Distinct count | 5 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 1000 |
| Missing (%) | 11.7% |
| Memory size | 66.7 KiB |
| within an hour | |
|---|---|
| within a few hours | |
| within a day | 665 |
| a few days or more | 67 |
| Value | Count | Frequency (%) | |
| within an hour | 5041 | 59.1% | |
| within a few hours | 1760 | 20.6% | |
| within a day | 665 | 7.8% | |
| a few days or more | 67 | 0.8% | |
| (Missing) | 1000 | 11.7% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 18 |
|---|---|
| Mean length | 13.41146139 |
| Min length | 3 |
| Distinct count | 2353 |
|---|---|
| Unique (%) | 27.6% |
| Missing | 54 |
| Missing (%) | 0.6% |
| Memory size | 66.7 KiB |
| 11/2/15 | 257 |
|---|---|
| 10/10/18 | 253 |
| 12/16/16 | 204 |
| 12/17/12 | 101 |
| 11/11/16 | 76 |
| Other values (2347) |
| Value | Count | Frequency (%) | |
| 11/2/15 | 257 | 3.0% | |
| 10/10/18 | 253 | 3.0% | |
| 12/16/16 | 204 | 2.4% | |
| 12/17/12 | 101 | 1.2% | |
| 11/11/16 | 76 | 0.9% | |
| 5/16/19 | 48 | 0.6% | |
| 6/11/19 | 48 | 0.6% | |
| 5/6/16 | 48 | 0.6% | |
| 6/17/19 | 45 | 0.5% | |
| 2/13/18 | 43 | 0.5% | |
| Other values (2342) | 7356 | 86.2% | |
| (Missing) | 54 | 0.6% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | False |
| Contains non-words | True |
Length
| Max length | 8 |
|---|---|
| Mean length | 6.994491972 |
| Min length | 3 |
| Distinct count | 4361 |
|---|---|
| Unique (%) | 51.1% |
| Missing | 54 |
| Missing (%) | 0.6% |
| Memory size | 66.7 KiB |
| https://a0.muscache.com/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg?aki_policy=profile_small | 254 |
|---|---|
| https://a0.muscache.com/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg?aki_policy=profile_small | 253 |
| https://a0.muscache.com/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg?aki_policy=profile_small | 204 |
| https://a0.muscache.com/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg?aki_policy=profile_small | 101 |
| https://a0.muscache.com/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg?aki_policy=profile_small | 74 |
| Other values (4355) | |
| (Missing) | 54 |
| Value | Count | Frequency (%) | |
| https://a0.muscache.com/im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg?aki_policy=profile_small | 254 | 3.0% | |
| https://a0.muscache.com/im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg?aki_policy=profile_small | 253 | 3.0% | |
| https://a0.muscache.com/im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg?aki_policy=profile_small | 204 | 2.4% | |
| https://a0.muscache.com/im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg?aki_policy=profile_small | 101 | 1.2% | |
| https://a0.muscache.com/im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg?aki_policy=profile_small | 74 | 0.9% | |
| https://a0.muscache.com/im/pictures/user/9a5b2af1-f324-4183-acf6-21c12e6cb07a.jpg?aki_policy=profile_small | 47 | 0.6% | |
| https://a0.muscache.com/im/pictures/user/da842d53-11ed-4427-9979-f8260b9e05a2.jpg?aki_policy=profile_small | 46 | 0.5% | |
| https://a0.muscache.com/im/pictures/user/5db851ea-0c35-4c5f-860c-25a835978321.jpg?aki_policy=profile_small | 46 | 0.5% | |
| https://a0.muscache.com/im/pictures/user/c0f988d1-b198-47bb-88e8-c782ea61da2f.jpg?aki_policy=profile_small | 45 | 0.5% | |
| https://a0.muscache.com/im/pictures/user/95075c3f-d3a5-48da-8951-aa49656b2f02.jpg?aki_policy=profile_small | 43 | 0.5% | |
| Other values (4350) | 7366 | 86.3% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| https | 8479 | 99.4% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| a0.muscache.com | 8479 | 99.4% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| /im/pictures/user/7776ff02-ca7e-4046-8bc3-c6ca48be8080.jpg | 254 | 3.0% | |
| /im/pictures/user/8388c4a4-05a6-4147-8685-1546f15cd399.jpg | 253 | 3.0% | |
| /im/pictures/user/04f5096b-3b2b-4fd4-b757-9ee51e687734.jpg | 204 | 2.4% | |
| /im/pictures/user/17186de6-6eb6-4d28-b21c-cbf6a9b079a4.jpg | 101 | 1.2% | |
| /im/pictures/user/013ab980-172a-426a-aac5-2ce3e7b7fb9a.jpg | 74 | 0.9% | |
| /im/pictures/user/9a5b2af1-f324-4183-acf6-21c12e6cb07a.jpg | 47 | 0.6% | |
| /im/pictures/user/5db851ea-0c35-4c5f-860c-25a835978321.jpg | 46 | 0.5% | |
| /im/pictures/user/da842d53-11ed-4427-9979-f8260b9e05a2.jpg | 46 | 0.5% | |
| /im/pictures/user/c0f988d1-b198-47bb-88e8-c782ea61da2f.jpg | 45 | 0.5% | |
| /im/pictures/user/95075c3f-d3a5-48da-8951-aa49656b2f02.jpg | 43 | 0.5% | |
| Other values (4350) | 7366 | 86.3% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| aki_policy=profile_small | 8436 | 98.9% | |
| v=3 | 43 | 0.5% | |
| (Missing) | 54 | 0.6% |
| Value | Count | Frequency (%) | |
| 8479 | 99.4% | ||
| (Missing) | 54 | 0.6% |
| Distinct count | 73 |
|---|---|
| Unique (%) | 0.9% |
| Missing | 54 |
| Missing (%) | 0.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 101.5240005 |
|---|---|
| Minimum | 0.0 |
| Maximum | 1768.0 |
| Zeros | 497 |
| Zeros (%) | 5.8% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 16 |
| 95-th percentile | 1068 |
| Maximum | 1768 |
| Range | 1768 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 340.8117852 |
|---|---|
| Coefficient of variation (CV) | 3.356957799 |
| Kurtosis | 15.75472628 |
| Mean | 101.5240005 |
| Median Absolute Deviation (MAD) | 163.1497383 |
| Skewness | 4.06461647 |
| Sum | 860822 |
| Variance | 116152.6729 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 2596 | 30.4% | |
| 2 | 1225 | 14.4% | |
| 3 | 632 | 7.4% | |
| 0 | 497 | 5.8% | |
| 4 | 440 | 5.2% | |
| 5 | 311 | 3.6% | |
| 1768 | 254 | 3.0% | |
| 267 | 253 | 3.0% | |
| 1068 | 204 | 2.4% | |
| 6 | 113 | 1.3% | |
| Other values (62) | 1954 | 22.9% |
| Value | Count | Frequency (%) | |
| 0 | 497 | 5.8% | |
| 1 | 2596 | 30.4% | |
| 2 | 1225 | 14.4% | |
| 3 | 632 | 7.4% | |
| 4 | 440 | 5.2% |
| Value | Count | Frequency (%) | |
| 1768 | 254 | 3.0% | |
| 1068 | 204 | 2.4% | |
| 972 | 1 | < 0.1% | |
| 838 | 8 | 0.1% | |
| 678 | 26 | 0.3% |
host_url
URL
| Distinct count | 4399 |
|---|---|
| Unique (%) | 51.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| https://www.airbnb.com/users/show/48005494 | 254 |
|---|---|
| https://www.airbnb.com/users/show/219930816 | 253 |
| https://www.airbnb.com/users/show/107434423 | 204 |
| https://www.airbnb.com/users/show/4430421 | 101 |
| https://www.airbnb.com/users/show/103340667 | 74 |
| Other values (4394) |
| Value | Count | Frequency (%) | |
| https://www.airbnb.com/users/show/48005494 | 254 | 3.0% | |
| https://www.airbnb.com/users/show/219930816 | 253 | 3.0% | |
| https://www.airbnb.com/users/show/107434423 | 204 | 2.4% | |
| https://www.airbnb.com/users/show/4430421 | 101 | 1.2% | |
| https://www.airbnb.com/users/show/103340667 | 74 | 0.9% | |
| https://www.airbnb.com/users/show/70722023 | 47 | 0.6% | |
| https://www.airbnb.com/users/show/267895362 | 46 | 0.5% | |
| https://www.airbnb.com/users/show/262211596 | 46 | 0.5% | |
| https://www.airbnb.com/users/show/269218344 | 45 | 0.5% | |
| https://www.airbnb.com/users/show/117141107 | 43 | 0.5% | |
| Other values (4389) | 7420 | 87.0% |
| Value | Count | Frequency (%) | |
| https | 8533 | 100.0% |
| Value | Count | Frequency (%) | |
| www.airbnb.com | 8533 | 100.0% |
| Value | Count | Frequency (%) | |
| /users/show/48005494 | 254 | 3.0% | |
| /users/show/219930816 | 253 | 3.0% | |
| /users/show/107434423 | 204 | 2.4% | |
| /users/show/4430421 | 101 | 1.2% | |
| /users/show/103340667 | 74 | 0.9% | |
| /users/show/70722023 | 47 | 0.6% | |
| /users/show/267895362 | 46 | 0.5% | |
| /users/show/262211596 | 46 | 0.5% | |
| /users/show/269218344 | 45 | 0.5% | |
| /users/show/117141107 | 43 | 0.5% | |
| Other values (4389) | 7420 | 87.0% |
| Value | Count | Frequency (%) | |
| 8533 | 100.0% |
| Value | Count | Frequency (%) | |
| 8533 | 100.0% |
| Distinct count | 256 |
|---|---|
| Unique (%) | 3.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| ['email', 'phone', 'reviews', 'kba'] | 884 |
|---|---|
| ['email', 'phone', 'reviews', 'jumio', 'government_id'] | 516 |
| ['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'identity_manual'] | 475 |
| ['email', 'phone', 'reviews', 'jumio', 'government_id', 'work_email'] | 474 |
| ['email', 'phone', 'reviews'] | 393 |
| Other values (251) |
| Value | Count | Frequency (%) | |
| ['email', 'phone', 'reviews', 'kba'] | 884 | 10.4% | |
| ['email', 'phone', 'reviews', 'jumio', 'government_id'] | 516 | 6.0% | |
| ['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'identity_manual'] | 475 | 5.6% | |
| ['email', 'phone', 'reviews', 'jumio', 'government_id', 'work_email'] | 474 | 5.6% | |
| ['email', 'phone', 'reviews'] | 393 | 4.6% | |
| ['email', 'phone'] | 371 | 4.3% | |
| ['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id'] | 323 | 3.8% | |
| ['email', 'phone', 'facebook', 'reviews', 'kba'] | 322 | 3.8% | |
| ['email', 'phone', 'reviews', 'work_email'] | 290 | 3.4% | |
| ['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'identity_manual', 'work_email'] | 238 | 2.8% | |
| Other values (246) | 4247 | 49.8% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 152 |
|---|---|
| Mean length | 67.47826087 |
| Min length | 2 |
| Distinct count | 4389 |
|---|---|
| Unique (%) | 51.4% |
| Missing | 2283 |
| Missing (%) | 26.8% |
| Memory size | 66.7 KiB |
| #NAME? | 256 |
|---|---|
| House Rules 1. Reservations require a $500 security deposit that is not charged in advance. 2. Guests can cancel free of charge within 24 hours of booking (please contact us to process the refund). You’ll be charged 50% of the booking price (minus the service fee) if you cancel more than seven days before arrival, and 100% of the total price if you cancel within seven days of arrival. 3. Check-in is at 4 pm. Checkout is at 11 am. Early check-in or late checkout may be available upon request. Guests who stay beyond their designated checkout time or delay our housekeeping staff are liable for any associated costs and expenses. 4. Guests are not allowed to make a reservation in their city of residence. Please contact us if you're booking within your city. 5. Smoking, parties, and excessive noise are not allowed, including on balconies and in shared spaces. Smoking violations are subject to a $250 fine plus the cost to clean, deodorize, and repair damages. 6. Commercial photography/videogr | 180 |
| - A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Our Pet Policy outlines the weight limit and breed restrictions, along with related fees. Guests should notify us of any pets prior to check-in (failing to do so will incur a penalty) - Parking is offered based on availability and is subject to a fee. - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details | 93 |
| House Rules 1. Reservations require a $400 security deposit that is not charged in advance. 2. Guests can cancel free of charge within 24 hours of booking (please contact us to process the refund). You’ll be charged 50% of the booking price (minus the service fee) if you cancel more than seven days before arrival, and 100% of the total price if you cancel within seven days of arrival. 3. Check-in is at 4 pm. Checkout is at 11 am. Early check-in or late checkout may be available upon request. Guests who stay beyond their designated checkout time or delay our housekeeping staff are liable for any associated costs and expenses. 4. Guests are not allowed to make a reservation in their city of residence. Please contact us if you're booking within your city. 5. Smoking, parties, and excessive noise are not allowed, including on balconies and in shared spaces. Smoking violations are subject to a $250 fine plus the cost to clean, deodorize, and repair damages. 6. Commercial photography/videogr | 81 |
| - A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Parking is offered based on availability and is subject to a fee. - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details | 54 |
| Other values (4383) |
| Value | Count | Frequency (%) | |
| #NAME? | 256 | 3.0% | |
| House Rules 1. Reservations require a $500 security deposit that is not charged in advance. 2. Guests can cancel free of charge within 24 hours of booking (please contact us to process the refund). You’ll be charged 50% of the booking price (minus the service fee) if you cancel more than seven days before arrival, and 100% of the total price if you cancel within seven days of arrival. 3. Check-in is at 4 pm. Checkout is at 11 am. Early check-in or late checkout may be available upon request. Guests who stay beyond their designated checkout time or delay our housekeeping staff are liable for any associated costs and expenses. 4. Guests are not allowed to make a reservation in their city of residence. Please contact us if you're booking within your city. 5. Smoking, parties, and excessive noise are not allowed, including on balconies and in shared spaces. Smoking violations are subject to a $250 fine plus the cost to clean, deodorize, and repair damages. 6. Commercial photography/videogr | 180 | 2.1% | |
| - A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Our Pet Policy outlines the weight limit and breed restrictions, along with related fees. Guests should notify us of any pets prior to check-in (failing to do so will incur a penalty) - Parking is offered based on availability and is subject to a fee. - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details | 93 | 1.1% | |
| House Rules 1. Reservations require a $400 security deposit that is not charged in advance. 2. Guests can cancel free of charge within 24 hours of booking (please contact us to process the refund). You’ll be charged 50% of the booking price (minus the service fee) if you cancel more than seven days before arrival, and 100% of the total price if you cancel within seven days of arrival. 3. Check-in is at 4 pm. Checkout is at 11 am. Early check-in or late checkout may be available upon request. Guests who stay beyond their designated checkout time or delay our housekeeping staff are liable for any associated costs and expenses. 4. Guests are not allowed to make a reservation in their city of residence. Please contact us if you're booking within your city. 5. Smoking, parties, and excessive noise are not allowed, including on balconies and in shared spaces. Smoking violations are subject to a $250 fine plus the cost to clean, deodorize, and repair damages. 6. Commercial photography/videogr | 81 | 0.9% | |
| - A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Parking is offered based on availability and is subject to a fee. - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details | 54 | 0.6% | |
| Have a look at our House Rules and Community Guidelines: (Website hidden by Airbnb) | 54 | 0.6% | |
| • No smoking • No pets • No parties or events • Check-in time is 4PM - 12AM (midnight) | 46 | 0.5% | |
| - Quiet Hours between 10pm - 10am - No Visitors After 10pm - 10am - No Bikes - Check Out Time is Before 11am - No Daily Cleaning - No smoking permitted in the room or inside the building. - Luggage Storage: $2/luggage. No overnight storage. | 43 | 0.5% | |
| - A passport or ID number and an address have to be provided upon confirming the booking as per building regulations. In case a guest does not provide the above, the check in will be cancelled - Our Pet Policy outlines the weight limit and breed restrictions, along with related fees. Guests should notify us of any pets prior to check-in (failing to do so will incur a penalty) - All occupants that plan to reside in the apartment may be subject to both a criminal and background check at any time. Participation is necessary to rent a property. - Blueground has the right to enter and inspect the apartment or to show the apartment to a potential tenant any day of the week between 9am and 6pm as long as the tenant has been informed via email at least one day in advance - Please contact us for details | 41 | 0.5% | |
| - Quiet hours are from 10pm-8am. Please be respectful of your neighbors | 39 | 0.5% | |
| Other values (4378) | 5363 | 62.9% | |
| (Missing) | 2283 | 26.8% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1000 |
|---|---|
| Mean length | 291.6090472 |
| Min length | 3 |
| Distinct count | 8533 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21386449.34 |
|---|---|
| Minimum | 958 |
| Maximum | 40569280 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 958 |
|---|---|
| 5-th percentile | 777607.6 |
| Q1 | 9779327 |
| median | 22597536 |
| Q3 | 32703560 |
| 95-th percentile | 39630259.8 |
| Maximum | 40569280 |
| Range | 40568322 |
| Interquartile range (IQR) | 22924233 |
Descriptive statistics
| Standard deviation | 12838604.04 |
|---|---|
| Coefficient of variation (CV) | 0.6003148928 |
| Kurtosis | -1.255266502 |
| Mean | 21386449.34 |
| Median Absolute Deviation (MAD) | 11125109.03 |
| Skewness | -0.1955564177 |
| Sum | 1.824905722e+11 |
| Variance | 1.648297538e+14 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[9.58000000e+02 8.41650000e+04 1.21345100e+06 2.18827050e+06 2.18966400e+06 ... 4.04641655e+07 4.04644995e+07 4.04830790e+07 4.04831000e+07 4.05692800e+07], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 6604799 | 1 | < 0.1% | |
| 4510968 | 1 | < 0.1% | |
| 72921 | 1 | < 0.1% | |
| 38382815 | 1 | < 0.1% | |
| 32920800 | 1 | < 0.1% | |
| 8592609 | 1 | < 0.1% | |
| 36928741 | 1 | < 0.1% | |
| 35378273 | 1 | < 0.1% | |
| 10863850 | 1 | < 0.1% | |
| 24442092 | 1 | < 0.1% | |
| Other values (8523) | 8523 | 99.9% |
| Value | Count | Frequency (%) | |
| 958 | 1 | < 0.1% | |
| 3850 | 1 | < 0.1% | |
| 5858 | 1 | < 0.1% | |
| 7918 | 1 | < 0.1% | |
| 8142 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 40569280 | 1 | < 0.1% | |
| 40560328 | 1 | < 0.1% | |
| 40547706 | 1 | < 0.1% | |
| 40546145 | 1 | < 0.1% | |
| 40544136 | 1 | < 0.1% |
instant_bookable
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| f | |
|---|---|
| t |
| Value | Count | Frequency (%) | |
| f | 4932 | 57.8% | |
| t | 3601 | 42.2% |
| Distinct count | 4245 |
|---|---|
| Unique (%) | 49.7% |
| Missing | 2804 |
| Missing (%) | 32.9% |
| Memory size | 66.7 KiB |
| The entire apartment is yours to enjoy! You’ll either be personally greeted by a Blueground team member or given self check-in instructions. Throughout your stay, you’ll have access to our Client Experience team through the Blueground App. You can schedule additional cleanings, submit maintenance requests, and view our neighborhood recommendations with just a few taps. We’ll share all details upon confirmation of your stay. | 202 |
|---|---|
| For all maintenance requests, please email (Email hidden by Airbnb) | 61 |
| The front desk is a great resource to help with your needs during your stay. They can also answer many questions prior to your arrival. Of course, I'm always here to help. | 51 |
| Once the booking is complete, our Community Manager will reach out to you, coordinate your check-in, and answer any question you might have about the house, the city, or our amazing Community. Feel free to email, text, call or slack any member of our team if there is anything you need. Contacts information will be provided upon check-in. | 47 |
| Please don't hesitate to ask any questions, we are here to help and assure you the best possible stay. | 44 |
| Other values (4239) |
| Value | Count | Frequency (%) | |
| The entire apartment is yours to enjoy! You’ll either be personally greeted by a Blueground team member or given self check-in instructions. Throughout your stay, you’ll have access to our Client Experience team through the Blueground App. You can schedule additional cleanings, submit maintenance requests, and view our neighborhood recommendations with just a few taps. We’ll share all details upon confirmation of your stay. | 202 | 2.4% | |
| For all maintenance requests, please email (Email hidden by Airbnb) | 61 | 0.7% | |
| The front desk is a great resource to help with your needs during your stay. They can also answer many questions prior to your arrival. Of course, I'm always here to help. | 51 | 0.6% | |
| Once the booking is complete, our Community Manager will reach out to you, coordinate your check-in, and answer any question you might have about the house, the city, or our amazing Community. Feel free to email, text, call or slack any member of our team if there is anything you need. Contacts information will be provided upon check-in. | 47 | 0.6% | |
| Please don't hesitate to ask any questions, we are here to help and assure you the best possible stay. | 44 | 0.5% | |
| We are dedicated to building a supportive and self-reflective culture around respect and clear communication. By entering into this space we request that you heed these cultural norms. If you have any questions, please ask! This is also an iterative process and if you have any suggestions or feedback on our process or culture, we’d love to hear about it. With private and shared rooms, we welcome you to experience the culture. | 38 | 0.4% | |
| Available via phone/text/email at all times. Guests have 24 hour a day access to the front desk staff who can deal with any issues on site. | 36 | 0.4% | |
| We are available to be contacted 24x7. | 35 | 0.4% | |
| The Outpost Club Team will be in touch 24/7 | 31 | 0.4% | |
| Feel free to message us if you have any questions, we are 100% available for you! | 29 | 0.3% | |
| Other values (4234) | 5155 | 60.4% | |
| (Missing) | 2804 | 32.9% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1000 |
|---|---|
| Mean length | 128.9683581 |
| Min length | 3 |
| Distinct count | 1 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| f |
|---|
| Value | Count | Frequency (%) | |
| f | 8533 | 100.0% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | False |
| Contains non-words | False |
Length
| Max length | 1 |
|---|---|
| Mean length | 1 |
| Min length | 1 |
is_location_exact
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| t | |
|---|---|
| f |
| Value | Count | Frequency (%) | |
| t | 7082 | 83.0% | |
| f | 1451 | 17.0% |
jurisdiction_names
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 51 |
| Missing (%) | 0.6% |
| Memory size | 66.7 KiB |
| {"SAN FRANCISCO"} | |
|---|---|
| {"Solano County"," CA"} | 1 |
| Value | Count | Frequency (%) | |
| {"SAN FRANCISCO"} | 8481 | 99.4% | |
| {"Solano County"," CA"} | 1 | < 0.1% | |
| (Missing) | 51 | 0.6% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 23 |
|---|---|
| Mean length | 16.91702801 |
| Min length | 3 |
| Distinct count | 879 |
|---|---|
| Unique (%) | 10.3% |
| Missing | 1891 |
| Missing (%) | 22.2% |
| Memory size | 66.7 KiB |
| 11/22/19 | 549 |
|---|---|
| 12/1/19 | 200 |
| 11/30/19 | 180 |
| 11/23/19 | 177 |
| 11/17/19 | 143 |
| Other values (873) |
| Value | Count | Frequency (%) | |
| 11/22/19 | 549 | 6.4% | |
| 12/1/19 | 200 | 2.3% | |
| 11/30/19 | 180 | 2.1% | |
| 11/23/19 | 177 | 2.1% | |
| 11/17/19 | 143 | 1.7% | |
| 11/24/19 | 141 | 1.7% | |
| 11/21/19 | 136 | 1.6% | |
| 11/16/19 | 102 | 1.2% | |
| 11/18/19 | 99 | 1.2% | |
| 11/25/19 | 94 | 1.1% | |
| Other values (868) | 4821 | 56.5% | |
| (Missing) | 1891 | 22.2% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | False |
| Contains non-words | True |
Length
| Max length | 8 |
|---|---|
| Mean length | 6.407359662 |
| Min length | 3 |
| Distinct count | 2 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| 12/4/19 | |
|---|---|
| 12/5/19 | 195 |
| Value | Count | Frequency (%) | |
| 12/4/19 | 8338 | 97.7% | |
| 12/5/19 | 195 | 2.3% |
Composition
| Contains chars | False |
|---|---|
| Contains digits | True |
| Contains whitespace | False |
| Contains non-words | True |
Length
| Max length | 7 |
|---|---|
| Mean length | 7 |
| Min length | 7 |
latitude
Real number (ℝ≥0)
| Distinct count | 5221 |
|---|---|
| Unique (%) | 61.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.76635047 |
|---|---|
| Minimum | 37.70448 |
| Maximum | 37.828790000000005 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 37.70448 |
|---|---|
| 5-th percentile | 37.72348 |
| Q1 | 37.75177 |
| median | 37.76978 |
| Q3 | 37.78557 |
| 95-th percentile | 37.79918 |
| Maximum | 37.82879 |
| Range | 0.12431 |
| Interquartile range (IQR) | 0.0338 |
Descriptive statistics
| Standard deviation | 0.02281312059 |
|---|---|
| Coefficient of variation (CV) | 0.0006040594421 |
| Kurtosis | -0.492029107 |
| Mean | 37.76635047 |
| Median Absolute Deviation (MAD) | 0.01885600911 |
| Skewness | -0.4682242401 |
| Sum | 322260.2685 |
| Variance | 0.0005204384711 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[37.70448 37.70824 37.71677 37.728355 37.742375 ... 37.792115 37.802285 37.806595 37.8075 37.82879 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 37.77981 | 8 | 0.1% | |
| 37.77316 | 7 | 0.1% | |
| 37.77657 | 7 | 0.1% | |
| 37.7583 | 6 | 0.1% | |
| 37.75726 | 6 | 0.1% | |
| 37.78778 | 6 | 0.1% | |
| 37.78827 | 6 | 0.1% | |
| 37.76186 | 6 | 0.1% | |
| 37.78866 | 6 | 0.1% | |
| 37.75855 | 6 | 0.1% | |
| Other values (5211) | 8469 | 99.2% |
| Value | Count | Frequency (%) | |
| 37.70448 | 1 | < 0.1% | |
| 37.70455 | 1 | < 0.1% | |
| 37.7047 | 1 | < 0.1% | |
| 37.70475 | 1 | < 0.1% | |
| 37.70485 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 37.82879 | 1 | < 0.1% | |
| 37.81704 | 1 | < 0.1% | |
| 37.81031 | 1 | < 0.1% | |
| 37.80757 | 1 | < 0.1% | |
| 37.80743 | 1 | < 0.1% |
| Distinct count | 2578 |
|---|---|
| Unique (%) | 30.2% |
| Missing | 3243 |
| Missing (%) | 38.0% |
| Memory size | 66.7 KiB |
| City registration pending | |
|---|---|
| License not needed per OSTR | 519 |
| Licensed Hotel/B&B | 99 |
| City Registration Pending | 83 |
| 1083521 | 32 |
| Other values (2572) |
| Value | Count | Frequency (%) | |
| City registration pending | 823 | 9.6% | |
| License not needed per OSTR | 519 | 6.1% | |
| Licensed Hotel/B&B | 99 | 1.2% | |
| City Registration Pending | 83 | 1.0% | |
| 1083521 | 32 | 0.4% | |
| 1078479 | 29 | 0.3% | |
| city registration pending | 26 | 0.3% | |
| 365804 | 24 | 0.3% | |
| 933345 | 22 | 0.3% | |
| 1080289 | 19 | 0.2% | |
| Other values (2567) | 3614 | 42.4% | |
| (Missing) | 3243 | 38.0% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 483 |
|---|---|
| Mean length | 10.73362241 |
| Min length | 2 |
| Distinct count | 8533 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| https://www.airbnb.com/rooms/5195922 | 1 |
|---|---|
| https://www.airbnb.com/rooms/1351626 | 1 |
| https://www.airbnb.com/rooms/415498 | 1 |
| https://www.airbnb.com/rooms/4825217 | 1 |
| https://www.airbnb.com/rooms/15149470 | 1 |
| Other values (8528) |
| Value | Count | Frequency (%) | |
| https://www.airbnb.com/rooms/5195922 | 1 | < 0.1% | |
| https://www.airbnb.com/rooms/1351626 | 1 | < 0.1% | |
| https://www.airbnb.com/rooms/415498 | 1 | < 0.1% | |
| https://www.airbnb.com/rooms/4825217 | 1 | < 0.1% | |
| https://www.airbnb.com/rooms/15149470 | 1 | < 0.1% | |
| https://www.airbnb.com/rooms/40030053 | 1 | < 0.1% | |
| https://www.airbnb.com/rooms/5905163 | 1 | < 0.1% | |
| https://www.airbnb.com/rooms/19588004 | 1 | < 0.1% | |
| https://www.airbnb.com/rooms/734801 | 1 | < 0.1% | |
| https://www.airbnb.com/rooms/10891431 | 1 | < 0.1% | |
| Other values (8523) | 8523 | 99.9% |
| Value | Count | Frequency (%) | |
| https | 8533 | 100.0% |
| Value | Count | Frequency (%) | |
| www.airbnb.com | 8533 | 100.0% |
| Value | Count | Frequency (%) | |
| /rooms/23804136 | 1 | < 0.1% | |
| /rooms/28610502 | 1 | < 0.1% | |
| /rooms/40118113 | 1 | < 0.1% | |
| /rooms/28898815 | 1 | < 0.1% | |
| /rooms/21597747 | 1 | < 0.1% | |
| /rooms/22067613 | 1 | < 0.1% | |
| /rooms/40464349 | 1 | < 0.1% | |
| /rooms/39106572 | 1 | < 0.1% | |
| /rooms/14475808 | 1 | < 0.1% | |
| /rooms/39970683 | 1 | < 0.1% | |
| Other values (8523) | 8523 | 99.9% |
| Value | Count | Frequency (%) | |
| 8533 | 100.0% |
| Value | Count | Frequency (%) | |
| 8533 | 100.0% |
longitude
Real number (ℝ)
| Distinct count | 5326 |
|---|---|
| Unique (%) | 62.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -122.4297793 |
|---|---|
| Minimum | -122.51306000000001 |
| Maximum | -122.36856999999999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | -122.51306 |
|---|---|
| 5-th percentile | -122.488894 |
| Q1 | -122.44252 |
| median | -122.42406 |
| Q3 | -122.4105 |
| 95-th percentile | -122.393996 |
| Maximum | -122.36857 |
| Range | 0.14449 |
| Interquartile range (IQR) | 0.03202 |
Descriptive statistics
| Standard deviation | 0.02701034079 |
|---|---|
| Coefficient of variation (CV) | -0.0002206190434 |
| Kurtosis | 0.6616132309 |
| Mean | -122.4297793 |
| Median Absolute Deviation (MAD) | 0.02092301624 |
| Skewness | -0.9858101357 |
| Sum | -1044693.306 |
| Variance | 0.0007295585095 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[-122.51306 -122.50966 -122.500745 -122.48018 -122.453815 ... -122.399885 -122.38774 -122.382035 -122.371835 -122.36857 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| -122.40925 | 8 | 0.1% | |
| -122.42977 | 8 | 0.1% | |
| -122.40637 | 7 | 0.1% | |
| -122.41479 | 7 | 0.1% | |
| -122.40931 | 7 | 0.1% | |
| -122.41697 | 7 | 0.1% | |
| -122.43255 | 7 | 0.1% | |
| -122.40678 | 7 | 0.1% | |
| -122.40825 | 6 | 0.1% | |
| -122.44126 | 6 | 0.1% | |
| Other values (5316) | 8463 | 99.2% |
| Value | Count | Frequency (%) | |
| -122.51306 | 1 | < 0.1% | |
| -122.51163 | 1 | < 0.1% | |
| -122.51117 | 1 | < 0.1% | |
| -122.51015 | 1 | < 0.1% | |
| -122.5101 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| -122.36857 | 1 | < 0.1% | |
| -122.36903 | 1 | < 0.1% | |
| -122.36999 | 1 | < 0.1% | |
| -122.37009 | 1 | < 0.1% | |
| -122.37043 | 1 | < 0.1% |
market
Categorical
| Distinct count | 3 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 20 |
| Missing (%) | 0.2% |
| Memory size | 66.7 KiB |
| San Francisco | |
|---|---|
| D.C. | 1 |
| Value | Count | Frequency (%) | |
| San Francisco | 8512 | 99.8% | |
| D.C. | 1 | < 0.1% | |
| (Missing) | 20 | 0.2% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 13 |
|---|---|
| Mean length | 12.97550686 |
| Min length | 3 |
| Distinct count | 157 |
|---|---|
| Unique (%) | 1.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1018938.843 |
|---|---|
| Minimum | 1 |
| Maximum | 2147483647 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 7 |
| Q1 | 29 |
| median | 360 |
| Q3 | 1125 |
| 95-th percentile | 1125 |
| Maximum | 2147483647 |
| Range | 2147483646 |
| Interquartile range (IQR) | 1096 |
Descriptive statistics
| Standard deviation | 46499455.31 |
|---|---|
| Coefficient of variation (CV) | 45.63517784 |
| Kurtosis | 2127.190179 |
| Mean | 1018938.843 |
| Median Absolute Deviation (MAD) | 2035588.865 |
| Skewness | 46.12635698 |
| Sum | 8694605146 |
| Variance | 2.162199344e+15 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.00000000e+00 3.50000000e+00 4.50000000e+00 5.50000000e+00 6.50000000e+00 ... 1.12450000e+03 1.16000000e+03 1.91250000e+03 5.50000000e+04 2.14748365e+09], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 1125 | 3478 | 40.8% | |
| 365 | 550 | 6.4% | |
| 30 | 404 | 4.7% | |
| 29 | 357 | 4.2% | |
| 28 | 330 | 3.9% | |
| 90 | 327 | 3.8% | |
| 14 | 293 | 3.4% | |
| 21 | 254 | 3.0% | |
| 180 | 252 | 3.0% | |
| 7 | 246 | 2.9% | |
| Other values (147) | 2042 | 23.9% |
| Value | Count | Frequency (%) | |
| 1 | 6 | 0.1% | |
| 2 | 5 | 0.1% | |
| 3 | 21 | 0.2% | |
| 4 | 55 | 0.6% | |
| 5 | 120 | 1.4% |
| Value | Count | Frequency (%) | |
| 2147483647 | 4 | < 0.1% | |
| 100000000 | 1 | < 0.1% | |
| 100000 | 1 | < 0.1% | |
| 10000 | 2 | < 0.1% | |
| 9999 | 2 | < 0.1% |
| Distinct count | 55 |
|---|---|
| Unique (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11741.32884 |
|---|---|
| Minimum | 1 |
| Maximum | 100000000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 5 |
| Q3 | 30 |
| 95-th percentile | 31 |
| Maximum | 100000000 |
| Range | 99999999 |
| Interquartile range (IQR) | 28 |
Descriptive statistics
| Standard deviation | 1082552.66 |
|---|---|
| Coefficient of variation (CV) | 92.20018236 |
| Kurtosis | 8532.999961 |
| Mean | 11741.32884 |
| Median Absolute Deviation (MAD) | 23435.66358 |
| Skewness | 92.37423852 |
| Sum | 100188759 |
| Variance | 1.171920262e+12 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.0000e+00 1.5000e+00 2.5000e+00 3.5000e+00 4.5000e+00 ... 1.8550e+02 3.5950e+02 6.8250e+02 1.0625e+03 1.0000e+08], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 30 | 3374 | 39.5% | |
| 2 | 1573 | 18.4% | |
| 1 | 1269 | 14.9% | |
| 3 | 953 | 11.2% | |
| 4 | 468 | 5.5% | |
| 5 | 241 | 2.8% | |
| 365 | 147 | 1.7% | |
| 31 | 125 | 1.5% | |
| 7 | 92 | 1.1% | |
| 32 | 52 | 0.6% | |
| Other values (45) | 239 | 2.8% |
| Value | Count | Frequency (%) | |
| 1 | 1269 | 14.9% | |
| 2 | 1573 | 18.4% | |
| 3 | 953 | 11.2% | |
| 4 | 468 | 5.5% | |
| 5 | 241 | 2.8% |
| Value | Count | Frequency (%) | |
| 100000000 | 1 | < 0.1% | |
| 1125 | 1 | < 0.1% | |
| 1000 | 1 | < 0.1% | |
| 365 | 147 | 1.7% | |
| 360 | 2 | < 0.1% |
| Distinct count | 161 |
|---|---|
| Unique (%) | 1.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12259.90332 |
|---|---|
| Minimum | 1 |
| Maximum | 100000000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 7 |
| Q1 | 29 |
| median | 180 |
| Q3 | 1125 |
| 95-th percentile | 1125 |
| Maximum | 100000000 |
| Range | 99999999 |
| Interquartile range (IQR) | 1096 |
Descriptive statistics
| Standard deviation | 1082547.725 |
|---|---|
| Coefficient of variation (CV) | 88.29985827 |
| Kurtosis | 8532.978529 |
| Mean | 12259.90332 |
| Median Absolute Deviation (MAD) | 23456.10692 |
| Skewness | 92.37406461 |
| Sum | 104613755 |
| Variance | 1.171909578e+12 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.0000e+00 3.5000e+00 4.5000e+00 5.5000e+00 6.5000e+00 ... 1.1245e+03 1.1600e+03 1.9125e+03 5.5000e+04 1.0000e+08], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 1125 | 3493 | 40.9% | |
| 30 | 430 | 5.0% | |
| 29 | 387 | 4.5% | |
| 90 | 354 | 4.1% | |
| 28 | 353 | 4.1% | |
| 14 | 304 | 3.6% | |
| 365 | 298 | 3.5% | |
| 180 | 258 | 3.0% | |
| 7 | 255 | 3.0% | |
| 21 | 247 | 2.9% | |
| Other values (151) | 2154 | 25.2% |
| Value | Count | Frequency (%) | |
| 1 | 8 | 0.1% | |
| 2 | 5 | 0.1% | |
| 3 | 24 | 0.3% | |
| 4 | 61 | 0.7% | |
| 5 | 122 | 1.4% |
| Value | Count | Frequency (%) | |
| 100000000 | 1 | < 0.1% | |
| 100000 | 1 | < 0.1% | |
| 10000 | 2 | < 0.1% | |
| 9999 | 2 | < 0.1% | |
| 2000 | 1 | < 0.1% |
| Distinct count | 216 |
|---|---|
| Unique (%) | 2.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1018938.351 |
|---|---|
| Minimum | 1.0 |
| Maximum | 2147483647.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 7 |
| Q1 | 29 |
| median | 355.9 |
| Q3 | 1125 |
| 95-th percentile | 1125 |
| Maximum | 2147483647 |
| Range | 2147483646 |
| Interquartile range (IQR) | 1096 |
Descriptive statistics
| Standard deviation | 46499455.32 |
|---|---|
| Coefficient of variation (CV) | 45.6351999 |
| Kurtosis | 2127.190179 |
| Mean | 1018938.351 |
| Median Absolute Deviation (MAD) | 2035588.866 |
| Skewness | 46.12635698 |
| Sum | 8694600946 |
| Variance | 2.162199345e+15 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.00000000e+00 3.50000000e+00 4.05000000e+00 4.55000000e+00 5.50000000e+00 ... 1.12450000e+03 1.16000000e+03 1.91250000e+03 5.50000000e+04 2.14748365e+09], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 1125 | 3460 | 40.5% | |
| 365 | 462 | 5.4% | |
| 30 | 403 | 4.7% | |
| 29 | 355 | 4.2% | |
| 90 | 325 | 3.8% | |
| 14 | 293 | 3.4% | |
| 28 | 278 | 3.3% | |
| 180 | 252 | 3.0% | |
| 7 | 246 | 2.9% | |
| 21 | 244 | 2.9% | |
| Other values (206) | 2215 | 26.0% |
| Value | Count | Frequency (%) | |
| 1 | 6 | 0.1% | |
| 2 | 5 | 0.1% | |
| 3 | 21 | 0.2% | |
| 4 | 55 | 0.6% | |
| 4.1 | 2 | < 0.1% |
| Value | Count | Frequency (%) | |
| 2147483647 | 4 | < 0.1% | |
| 100000000 | 1 | < 0.1% | |
| 100000 | 1 | < 0.1% | |
| 10000 | 2 | < 0.1% | |
| 9999 | 2 | < 0.1% |
| Distinct count | 159 |
|---|---|
| Unique (%) | 1.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1018932.626 |
|---|---|
| Minimum | 1 |
| Maximum | 2147483647 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 7 |
| Q1 | 29 |
| median | 210 |
| Q3 | 1125 |
| 95-th percentile | 1125 |
| Maximum | 2147483647 |
| Range | 2147483646 |
| Interquartile range (IQR) | 1096 |
Descriptive statistics
| Standard deviation | 46499455.44 |
|---|---|
| Coefficient of variation (CV) | 45.63545643 |
| Kurtosis | 2127.190179 |
| Mean | 1018932.626 |
| Median Absolute Deviation (MAD) | 2035588.873 |
| Skewness | 46.12635698 |
| Sum | 8694552095 |
| Variance | 2.162199356e+15 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.00000000e+00 1.50000000e+00 2.50000000e+00 3.50000000e+00 4.50000000e+00 ... 1.12450000e+03 1.16000000e+03 1.91250000e+03 5.50000000e+04 2.14748365e+09], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 1125 | 3460 | 40.5% | |
| 365 | 462 | 5.4% | |
| 30 | 425 | 5.0% | |
| 29 | 361 | 4.2% | |
| 90 | 326 | 3.8% | |
| 14 | 295 | 3.5% | |
| 28 | 278 | 3.3% | |
| 180 | 252 | 3.0% | |
| 7 | 249 | 2.9% | |
| 21 | 244 | 2.9% | |
| Other values (149) | 2181 | 25.6% |
| Value | Count | Frequency (%) | |
| 1 | 72 | 0.8% | |
| 2 | 70 | 0.8% | |
| 3 | 22 | 0.3% | |
| 4 | 59 | 0.7% | |
| 5 | 120 | 1.4% |
| Value | Count | Frequency (%) | |
| 2147483647 | 4 | < 0.1% | |
| 100000000 | 1 | < 0.1% | |
| 100000 | 1 | < 0.1% | |
| 10000 | 2 | < 0.1% | |
| 9999 | 2 | < 0.1% |
| Distinct count | 51 |
|---|---|
| Unique (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11735.54998 |
|---|---|
| Minimum | 1 |
| Maximum | 100000000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 30 |
| 95-th percentile | 30 |
| Maximum | 100000000 |
| Range | 99999999 |
| Interquartile range (IQR) | 28 |
Descriptive statistics
| Standard deviation | 1082552.722 |
|---|---|
| Coefficient of variation (CV) | 92.24558914 |
| Kurtosis | 8532.999989 |
| Mean | 11735.54998 |
| Median Absolute Deviation (MAD) | 23435.66494 |
| Skewness | 92.37423875 |
| Sum | 100139448 |
| Variance | 1.171920396e+12 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.0000e+00 1.5000e+00 2.5000e+00 3.5000e+00 4.5000e+00 ... 1.6500e+02 1.8550e+02 6.8250e+02 1.0625e+03 1.0000e+08], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 30 | 3484 | 40.8% | |
| 1 | 1681 | 19.7% | |
| 2 | 1569 | 18.4% | |
| 3 | 880 | 10.3% | |
| 4 | 296 | 3.5% | |
| 5 | 164 | 1.9% | |
| 31 | 123 | 1.4% | |
| 7 | 78 | 0.9% | |
| 32 | 52 | 0.6% | |
| 60 | 42 | 0.5% | |
| Other values (41) | 164 | 1.9% |
| Value | Count | Frequency (%) | |
| 1 | 1681 | 19.7% | |
| 2 | 1569 | 18.4% | |
| 3 | 880 | 10.3% | |
| 4 | 296 | 3.5% | |
| 5 | 164 | 1.9% |
| Value | Count | Frequency (%) | |
| 100000000 | 1 | < 0.1% | |
| 1125 | 1 | < 0.1% | |
| 1000 | 1 | < 0.1% | |
| 365 | 9 | 0.1% | |
| 360 | 2 | < 0.1% |
| Distinct count | 53 |
|---|---|
| Unique (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11735.67104 |
|---|---|
| Minimum | 1 |
| Maximum | 100000000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 30 |
| 95-th percentile | 30 |
| Maximum | 100000000 |
| Range | 99999999 |
| Interquartile range (IQR) | 28 |
Descriptive statistics
| Standard deviation | 1082552.721 |
|---|---|
| Coefficient of variation (CV) | 92.24463746 |
| Kurtosis | 8532.999989 |
| Mean | 11735.67104 |
| Median Absolute Deviation (MAD) | 23435.66491 |
| Skewness | 92.37423875 |
| Sum | 100140481 |
| Variance | 1.171920393e+12 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.0000e+00 1.5000e+00 2.5000e+00 3.5000e+00 4.5000e+00 ... 1.6500e+02 1.8550e+02 6.8250e+02 1.0625e+03 1.0000e+08], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 30 | 3506 | 41.1% | |
| 2 | 1657 | 19.4% | |
| 1 | 1491 | 17.5% | |
| 3 | 916 | 10.7% | |
| 4 | 320 | 3.8% | |
| 5 | 174 | 2.0% | |
| 31 | 123 | 1.4% | |
| 7 | 79 | 0.9% | |
| 32 | 52 | 0.6% | |
| 60 | 43 | 0.5% | |
| Other values (43) | 172 | 2.0% |
| Value | Count | Frequency (%) | |
| 1 | 1491 | 17.5% | |
| 2 | 1657 | 19.4% | |
| 3 | 916 | 10.7% | |
| 4 | 320 | 3.8% | |
| 5 | 174 | 2.0% |
| Value | Count | Frequency (%) | |
| 100000000 | 1 | < 0.1% | |
| 1125 | 1 | < 0.1% | |
| 1000 | 1 | < 0.1% | |
| 365 | 9 | 0.1% | |
| 360 | 2 | < 0.1% |
| Distinct count | 246 |
|---|---|
| Unique (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11740.41848 |
|---|---|
| Minimum | 1.0 |
| Maximum | 100000000.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 30 |
| 95-th percentile | 31 |
| Maximum | 100000000 |
| Range | 99999999 |
| Interquartile range (IQR) | 28 |
Descriptive statistics
| Standard deviation | 1082552.67 |
|---|---|
| Coefficient of variation (CV) | 92.20733245 |
| Kurtosis | 8532.999967 |
| Mean | 11740.41848 |
| Median Absolute Deviation (MAD) | 23435.6638 |
| Skewness | 92.37423857 |
| Sum | 100180990.9 |
| Variance | 1.171920283e+12 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.0000e+00 1.0500e+00 1.2500e+00 1.3500e+00 1.9500e+00 ... 3.4315e+02 3.4830e+02 3.6250e+02 1.0625e+03 1.0000e+08], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 30 | 3341 | 39.2% | |
| 2 | 1521 | 17.8% | |
| 1 | 1308 | 15.3% | |
| 3 | 849 | 9.9% | |
| 4 | 294 | 3.4% | |
| 5 | 164 | 1.9% | |
| 31 | 123 | 1.4% | |
| 1.3 | 93 | 1.1% | |
| 7 | 76 | 0.9% | |
| 32 | 52 | 0.6% | |
| Other values (236) | 712 | 8.3% |
| Value | Count | Frequency (%) | |
| 1 | 1308 | 15.3% | |
| 1.1 | 40 | 0.5% | |
| 1.2 | 26 | 0.3% | |
| 1.3 | 93 | 1.1% | |
| 1.4 | 7 | 0.1% |
| Value | Count | Frequency (%) | |
| 100000000 | 1 | < 0.1% | |
| 1125 | 1 | < 0.1% | |
| 1000 | 1 | < 0.1% | |
| 365 | 9 | 0.1% | |
| 360 | 2 | < 0.1% |
| Distinct count | 311 |
|---|---|
| Unique (%) | 3.6% |
| Missing | 7507 |
| Missing (%) | 88.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4343.131579 |
|---|---|
| Minimum | 700.0 |
| Maximum | 32000.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 700 |
|---|---|
| 5-th percentile | 1456.25 |
| Q1 | 2572.5 |
| median | 3700 |
| Q3 | 5030 |
| 95-th percentile | 9574.25 |
| Maximum | 32000 |
| Range | 31300 |
| Interquartile range (IQR) | 2457.5 |
Descriptive statistics
| Standard deviation | 2923.45002 |
|---|---|
| Coefficient of variation (CV) | 0.6731202974 |
| Kurtosis | 17.26377721 |
| Mean | 4343.131579 |
| Median Absolute Deviation (MAD) | 1906.797271 |
| Skewness | 3.11663951 |
| Sum | 4456053 |
| Variance | 8546560.019 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 3500 | 42 | 0.5% | |
| 2500 | 33 | 0.4% | |
| 4000 | 33 | 0.4% | |
| 3000 | 31 | 0.4% | |
| 4500 | 30 | 0.4% | |
| 5000 | 27 | 0.3% | |
| 3200 | 25 | 0.3% | |
| 6000 | 19 | 0.2% | |
| 3600 | 15 | 0.2% | |
| 4800 | 14 | 0.2% | |
| Other values (300) | 757 | 8.9% | |
| (Missing) | 7507 | 88.0% |
| Value | Count | Frequency (%) | |
| 700 | 2 | < 0.1% | |
| 750 | 1 | < 0.1% | |
| 880 | 9 | 0.1% | |
| 987 | 1 | < 0.1% | |
| 1000 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 32000 | 1 | < 0.1% | |
| 25000 | 3 | < 0.1% | |
| 19500 | 1 | < 0.1% | |
| 18900 | 1 | < 0.1% | |
| 18500 | 1 | < 0.1% |
| Distinct count | 8172 |
|---|---|
| Unique (%) | 95.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| Union Square Convention Hotel | 40 |
|---|---|
| Startup House SF Downtown - Private Room | 29 |
| Stratford Hotel Room Queen | 25 |
| Alamo Square Startup House Private Cubicle | 24 |
| The Bartlett QUEEN | 17 |
| Other values (8167) |
| Value | Count | Frequency (%) | |
| Union Square Convention Hotel | 40 | 0.5% | |
| Startup House SF Downtown - Private Room | 29 | 0.3% | |
| Stratford Hotel Room Queen | 25 | 0.3% | |
| Alamo Square Startup House Private Cubicle | 24 | 0.3% | |
| The Bartlett QUEEN | 17 | 0.2% | |
| Studio at Donatello Hotel near Union Square | 15 | 0.2% | |
| BARTLETT QUEEN(5th Floor No Elevtor) | 14 | 0.2% | |
| Wyndham Canterbury at San Francisco 1 bedroom | 11 | 0.1% | |
| Stratford Hotel Twin/Twin | 11 | 0.1% | |
| Dorm Room with Private Bathroom | 10 | 0.1% | |
| Other values (8162) | 8337 | 97.7% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 121 |
|---|---|
| Mean length | 40.02097738 |
| Min length | 2 |
| Distinct count | 4692 |
|---|---|
| Unique (%) | 55.0% |
| Missing | 2111 |
| Missing (%) | 24.7% |
| Memory size | 66.7 KiB |
| The Tenderloin District is situated between the Union Square shopping district and the Civic Center office district. Known for its art and music scene, there are many classic concert venues like the Great American Music Hall, and an abundance of underground art spaces. Its funky, colorful streets feature a mix of upscale, trendy and casual restaurants. Nightlife ranges from dark dives slinging beer and shots to speakeasy-style bars mixing craft cocktails. | 61 |
|---|---|
| Just a couple of blocks from Union Square. This is a wonderful, vibrant neighborhood with lots of restaurants within a short walk. Enjoy! | 50 |
| This furnished apartment is located in South of Market, known as SoMa. A trendy, urban district, famous for its excellent art and museum scene. Home to a diverse mix of entrepreneurs and young families, this neighborhood offers hip bars, fine dinings and delicious coffee. Don’t miss the plethora of museums, including a visit to the San Francisco Modern Museum of Art. Baseball lovers frequently visit SoMa as it is also home to the San Francisco Giants. | 42 |
| SoMa, or South of Market, is a fast-growing centrally located neighborhood with beautiful high-rises and a vibrant nightlife. It's the home to Moscone Conference Center and many of San Francisco's museums, as well as the headquarters of several major tech companies. | 36 |
| The neighborhood is called Nob Hill. You’ll be right around the corner from shops, coffee houses, restaurants, bars on Polk street, and grocery stores including Trader Joe’s and Whole Foods. Take a jog down to China town, or a walk over to Fisherman’s Wharf. A 15 minute bike ride puts you right in the Financial District for an easy commute to and from work. We love the Contraband coffee bar just 2 blocks over for a great atmosphere to work and sip your favorite pour over brew. Everything you need is easy to get to! | 35 |
| Other values (4686) |
| Value | Count | Frequency (%) | |
| The Tenderloin District is situated between the Union Square shopping district and the Civic Center office district. Known for its art and music scene, there are many classic concert venues like the Great American Music Hall, and an abundance of underground art spaces. Its funky, colorful streets feature a mix of upscale, trendy and casual restaurants. Nightlife ranges from dark dives slinging beer and shots to speakeasy-style bars mixing craft cocktails. | 61 | 0.7% | |
| Just a couple of blocks from Union Square. This is a wonderful, vibrant neighborhood with lots of restaurants within a short walk. Enjoy! | 50 | 0.6% | |
| This furnished apartment is located in South of Market, known as SoMa. A trendy, urban district, famous for its excellent art and museum scene. Home to a diverse mix of entrepreneurs and young families, this neighborhood offers hip bars, fine dinings and delicious coffee. Don’t miss the plethora of museums, including a visit to the San Francisco Modern Museum of Art. Baseball lovers frequently visit SoMa as it is also home to the San Francisco Giants. | 42 | 0.5% | |
| SoMa, or South of Market, is a fast-growing centrally located neighborhood with beautiful high-rises and a vibrant nightlife. It's the home to Moscone Conference Center and many of San Francisco's museums, as well as the headquarters of several major tech companies. | 36 | 0.4% | |
| The neighborhood is called Nob Hill. You’ll be right around the corner from shops, coffee houses, restaurants, bars on Polk street, and grocery stores including Trader Joe’s and Whole Foods. Take a jog down to China town, or a walk over to Fisherman’s Wharf. A 15 minute bike ride puts you right in the Financial District for an easy commute to and from work. We love the Contraband coffee bar just 2 blocks over for a great atmosphere to work and sip your favorite pour over brew. Everything you need is easy to get to! | 35 | 0.4% | |
| Haight-Ashbury is an incredible relic of San Francisco’s past. The neighborhood, also known as “The Haight” or “Upper Haight”, succinctly personifies the City’s history, aesthetic, and culture. It is perhaps the most colorful swath of acreage in San Francisco, and remains one of the last-standing neighborhoods to retain an eccentric personality. The Haight rose to fame during the Counterculture Movement during the Vietnam War era; it became a regular feature in international news headlines and incited a global initiative for social change with special thanks to the 1967 Summer of Love, and a little help from Janis Joplin and the Grateful Dead. The Haight-Ashbury neighborhood is nestled in between three parks: Golden Gate Park, the Panhandle, and Buena Vista Park, making it somewhat of an urban oasis. Within the parks you'll find: Museums, botanical gardens, seasonal music festivals, and a tea garden. We recommend: - Eating at a one of the delicious restaurants or food trucks, or catch | 34 | 0.4% | |
| This neighbourhood is in the heart of San Francisco, close to everything, and with restaurants, pubs, and a convenience store all in close proximity. | 32 | 0.4% | |
| Hayes Valley is in the heart of San Francisco, featuring picturesque Victorian homes, and beautiful green space and community gardens. Known as one of the Bay Area's hippest neighborhoods, charming boutiques, eateries, and bars fill every street. Spend the day relaxing at a sidewalk cafe, or exploring one of the many pop-up art galleries. | 30 | 0.4% | |
| Saturated with authentic taquerias, Michelin-starred restaurants, and artisanal bakeries, San Francisco’s Mission District is the culinary hotspot for west coast cuisine. Meander through the colorful, mural-filled streets including the famous Clarion Alley, and get a glimpse into the rich history of the oldest neighborhood in the city. Unwind at Mission Dolores Park and enjoy the 16 acres of green space and beautiful views of downtown. | 29 | 0.3% | |
| This house is perfectly located in downtown San Francisco, a 7 minute walk away from Bart station and just 3 blocks away from the Union Square with lots of restaurants and shopping locations. You will stay in a private room, with other like-minded startup house community members. | 29 | 0.3% | |
| Other values (4681) | 6044 | 70.8% | |
| (Missing) | 2111 | 24.7% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1000 |
|---|---|
| Mean length | 303.4823626 |
| Min length | 1 |
| Distinct count | 56 |
|---|---|
| Unique (%) | 0.7% |
| Missing | 10 |
| Missing (%) | 0.1% |
| Memory size | 66.7 KiB |
| Mission District | 786 |
|---|---|
| SoMa | 641 |
| Western Addition/NOPA | 467 |
| Richmond District | 439 |
| Outer Sunset | 413 |
| Other values (50) |
| Value | Count | Frequency (%) | |
| Mission District | 786 | 9.2% | |
| SoMa | 641 | 7.5% | |
| Western Addition/NOPA | 467 | 5.5% | |
| Richmond District | 439 | 5.1% | |
| Outer Sunset | 413 | 4.8% | |
| Downtown | 395 | 4.6% | |
| Bernal Heights | 395 | 4.6% | |
| Nob Hill | 387 | 4.5% | |
| Noe Valley | 360 | 4.2% | |
| The Castro | 353 | 4.1% | |
| Other values (45) | 3887 | 45.6% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 21 |
|---|---|
| Mean length | 11.84870503 |
| Min length | 3 |
neighbourhood_cleansed
Categorical
| Distinct count | 37 |
|---|---|
| Unique (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| Mission | 789 |
|---|---|
| Downtown/Civic Center | 761 |
| South of Market | 751 |
| Western Addition | 630 |
| Castro/Upper Market | 471 |
| Other values (32) |
| Value | Count | Frequency (%) | |
| Mission | 789 | 9.2% | |
| Downtown/Civic Center | 761 | 8.9% | |
| South of Market | 751 | 8.8% | |
| Western Addition | 630 | 7.4% | |
| Castro/Upper Market | 471 | 5.5% | |
| Haight Ashbury | 413 | 4.8% | |
| Bernal Heights | 411 | 4.8% | |
| Noe Valley | 336 | 3.9% | |
| Nob Hill | 324 | 3.8% | |
| Outer Sunset | 319 | 3.7% | |
| Other values (27) | 3328 | 39.0% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 21 |
|---|---|
| Mean length | 13.16805344 |
| Min length | 6 |
| Distinct count | 3759 |
|---|---|
| Unique (%) | 44.1% |
| Missing | 3317 |
| Missing (%) | 38.9% |
| Memory size | 66.7 KiB |
| This Blueground apartment can be booked for a minimum of one month, to a year or more. | 200 |
|---|---|
| There is no A/C. This apartment is available for stays of 30 nights or more. If this Sonder isn't open for your dates, please contact us to see what else we have available. | 89 |
| Vacation Rental License No.: (Phone number hidden by Airbnb) Room service is not provided. | 44 |
| *Book your stay within 15 days. Anything further out, message me directly. *Pets (under 40lbs & no aggressive breeds) allowed with a $75/mnth pet fee. | 36 |
| #NAME? | 30 |
| Other values (3753) |
| Value | Count | Frequency (%) | |
| This Blueground apartment can be booked for a minimum of one month, to a year or more. | 200 | 2.3% | |
| There is no A/C. This apartment is available for stays of 30 nights or more. If this Sonder isn't open for your dates, please contact us to see what else we have available. | 89 | 1.0% | |
| Vacation Rental License No.: (Phone number hidden by Airbnb) Room service is not provided. | 44 | 0.5% | |
| *Book your stay within 15 days. Anything further out, message me directly. *Pets (under 40lbs & no aggressive breeds) allowed with a $75/mnth pet fee. | 36 | 0.4% | |
| #NAME? | 30 | 0.4% | |
| Non smoking Community House. No pets allowed. | 29 | 0.3% | |
| NOTE: Parking is mandatory valet and is $32 per day. Fitness center hours of operation: 7AM - 1030PM If you would like early check-in, the front desk will do its best to accommodate, but it is not guaranteed. If they are unable to accommodate, they will happily hold your belongings until you are able to check-in. | 29 | 0.3% | |
| With over 60 rooms in the San Francisco Bay area, our "Ben|n|Build Community" is large enough in size and diversity for us to organize monthly events. All our members are invited to attend, mingle and expand their network - while enjoying refreshments and food. | 25 | 0.3% | |
| One thing to be aware of is that we are known as a very social hostel--it isn't unheard of for our guests to have loud parties in our ballroom. We would love to have you stay here, but we also understand that that environment isn't right for everyone. This is your home away from home, the perfect spot to leave your worries behind while you explore the many sights of the City by the Bay! | 24 | 0.3% | |
| There is no A/C or microwave. This apartment is available for stays of 30 nights or more. If this Sonder isn't open for your dates, please contact us to see what else we have available. | 20 | 0.2% | |
| Other values (3748) | 4690 | 55.0% | |
| (Missing) | 3317 | 38.9% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1000 |
|---|---|
| Mean length | 187.6698699 |
| Min length | 1 |
| Distinct count | 419 |
|---|---|
| Unique (%) | 4.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 44.78565569 |
|---|---|
| Minimum | 0 |
| Maximum | 771 |
| Zeros | 1891 |
| Zeros (%) | 22.2% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 9 |
| Q3 | 52 |
| 95-th percentile | 214 |
| Maximum | 771 |
| Range | 771 |
| Interquartile range (IQR) | 51 |
Descriptive statistics
| Standard deviation | 79.47665416 |
|---|---|
| Coefficient of variation (CV) | 1.77460066 |
| Kurtosis | 11.63832187 |
| Mean | 44.78565569 |
| Median Absolute Deviation (MAD) | 52.75513419 |
| Skewness | 2.996549282 |
| Sum | 382156 |
| Variance | 6316.538557 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0.000e+00 5.000e-01 1.500e+00 2.500e+00 3.500e+00 ... 2.605e+02 3.645e+02 4.060e+02 5.800e+02 7.710e+02], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 1891 | 22.2% | |
| 1 | 699 | 8.2% | |
| 2 | 433 | 5.1% | |
| 3 | 327 | 3.8% | |
| 4 | 221 | 2.6% | |
| 5 | 176 | 2.1% | |
| 6 | 155 | 1.8% | |
| 8 | 146 | 1.7% | |
| 7 | 124 | 1.5% | |
| 9 | 113 | 1.3% | |
| Other values (409) | 4248 | 49.8% |
| Value | Count | Frequency (%) | |
| 0 | 1891 | 22.2% | |
| 1 | 699 | 8.2% | |
| 2 | 433 | 5.1% | |
| 3 | 327 | 3.8% | |
| 4 | 221 | 2.6% |
| Value | Count | Frequency (%) | |
| 771 | 1 | < 0.1% | |
| 713 | 1 | < 0.1% | |
| 710 | 1 | < 0.1% | |
| 665 | 1 | < 0.1% | |
| 658 | 1 | < 0.1% |
| Distinct count | 133 |
|---|---|
| Unique (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.33962264 |
|---|---|
| Minimum | 0 |
| Maximum | 229 |
| Zeros | 2813 |
| Zeros (%) | 33.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 17 |
| 95-th percentile | 63 |
| Maximum | 229 |
| Range | 229 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 22.38551583 |
|---|---|
| Coefficient of variation (CV) | 1.67812212 |
| Kurtosis | 5.925072672 |
| Mean | 13.33962264 |
| Median Absolute Deviation (MAD) | 16.22222714 |
| Skewness | 2.273358232 |
| Sum | 113827 |
| Variance | 501.111319 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 1.5 2.5 3.5 ... 80.5 99.5 122.5 142. 229. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 2813 | 33.0% | |
| 1 | 1017 | 11.9% | |
| 2 | 603 | 7.1% | |
| 3 | 428 | 5.0% | |
| 4 | 253 | 3.0% | |
| 5 | 214 | 2.5% | |
| 6 | 168 | 2.0% | |
| 8 | 127 | 1.5% | |
| 7 | 117 | 1.4% | |
| 9 | 101 | 1.2% | |
| Other values (123) | 2692 | 31.5% |
| Value | Count | Frequency (%) | |
| 0 | 2813 | 33.0% | |
| 1 | 1017 | 11.9% | |
| 2 | 603 | 7.1% | |
| 3 | 428 | 5.0% | |
| 4 | 253 | 3.0% |
| Value | Count | Frequency (%) | |
| 229 | 1 | < 0.1% | |
| 180 | 1 | < 0.1% | |
| 157 | 1 | < 0.1% | |
| 144 | 1 | < 0.1% | |
| 140 | 1 | < 0.1% |
picture_url
URL
| Distinct count | 8158 |
|---|---|
| Unique (%) | 95.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| https://a0.muscache.com/im/pictures/7a1f5403-a6ee-463d-98c4-a4b40030a70f.jpg?aki_policy=large | 27 |
|---|---|
| https://a0.muscache.com/im/pictures/6113a86d-7962-41b1-8464-707c9a4f476e.jpg?aki_policy=large | 18 |
| https://a0.muscache.com/im/pictures/49741aea-71b6-4213-96f8-43dd3e4cab1c.jpg?aki_policy=large | 16 |
| https://a0.muscache.com/im/pictures/196bd51c-6bc3-495f-a7f9-39036e89dc8b.jpg?aki_policy=large | 14 |
| https://a0.muscache.com/im/pictures/7fc4f74f-efcc-415d-8606-4c9c2ade36ca.jpg?aki_policy=large | 13 |
| Other values (8153) |
| Value | Count | Frequency (%) | |
| https://a0.muscache.com/im/pictures/7a1f5403-a6ee-463d-98c4-a4b40030a70f.jpg?aki_policy=large | 27 | 0.3% | |
| https://a0.muscache.com/im/pictures/6113a86d-7962-41b1-8464-707c9a4f476e.jpg?aki_policy=large | 18 | 0.2% | |
| https://a0.muscache.com/im/pictures/49741aea-71b6-4213-96f8-43dd3e4cab1c.jpg?aki_policy=large | 16 | 0.2% | |
| https://a0.muscache.com/im/pictures/196bd51c-6bc3-495f-a7f9-39036e89dc8b.jpg?aki_policy=large | 14 | 0.2% | |
| https://a0.muscache.com/im/pictures/7fc4f74f-efcc-415d-8606-4c9c2ade36ca.jpg?aki_policy=large | 13 | 0.2% | |
| https://a0.muscache.com/im/pictures/717f7848-37aa-43ed-92cd-b04a6fc78b50.jpg?aki_policy=large | 12 | 0.1% | |
| https://a0.muscache.com/im/pictures/17e460f6-c6d8-4a43-b6e3-fa7880aee93f.jpg?aki_policy=large | 12 | 0.1% | |
| https://a0.muscache.com/im/pictures/cd11a92d-d770-4802-91c3-d9d4c5b61f49.jpg?aki_policy=large | 10 | 0.1% | |
| https://a0.muscache.com/im/pictures/da0d6b3c-91b5-41fc-b0ed-90bbe88ec414.jpg?aki_policy=large | 9 | 0.1% | |
| https://a0.muscache.com/im/pictures/c95422ac-6bfa-4a5d-9f08-9544c44aa59c.jpg?aki_policy=large | 9 | 0.1% | |
| Other values (8148) | 8393 | 98.4% |
| Value | Count | Frequency (%) | |
| https | 8533 | 100.0% |
| Value | Count | Frequency (%) | |
| a0.muscache.com | 8533 | 100.0% |
| Value | Count | Frequency (%) | |
| /im/pictures/7a1f5403-a6ee-463d-98c4-a4b40030a70f.jpg | 27 | 0.3% | |
| /im/pictures/6113a86d-7962-41b1-8464-707c9a4f476e.jpg | 18 | 0.2% | |
| /im/pictures/49741aea-71b6-4213-96f8-43dd3e4cab1c.jpg | 16 | 0.2% | |
| /im/pictures/196bd51c-6bc3-495f-a7f9-39036e89dc8b.jpg | 14 | 0.2% | |
| /im/pictures/7fc4f74f-efcc-415d-8606-4c9c2ade36ca.jpg | 13 | 0.2% | |
| /im/pictures/17e460f6-c6d8-4a43-b6e3-fa7880aee93f.jpg | 12 | 0.1% | |
| /im/pictures/717f7848-37aa-43ed-92cd-b04a6fc78b50.jpg | 12 | 0.1% | |
| /im/pictures/cd11a92d-d770-4802-91c3-d9d4c5b61f49.jpg | 10 | 0.1% | |
| /im/pictures/da0d6b3c-91b5-41fc-b0ed-90bbe88ec414.jpg | 9 | 0.1% | |
| /im/pictures/c95422ac-6bfa-4a5d-9f08-9544c44aa59c.jpg | 9 | 0.1% | |
| Other values (8148) | 8393 | 98.4% |
| Value | Count | Frequency (%) | |
| aki_policy=large | 8256 | 96.8% | |
| t=r:w1200-h720-sfit,e:fjpg-c85 | 277 | 3.2% |
| Value | Count | Frequency (%) | |
| 8533 | 100.0% |
price
Real number (ℝ≥0)
| Distinct count | 526 |
|---|---|
| Unique (%) | 6.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 215.4125161 |
|---|---|
| Minimum | 0.0 |
| Maximum | 10000.0 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 53 |
| Q1 | 99 |
| median | 150 |
| Q3 | 235 |
| 95-th percentile | 554.4 |
| Maximum | 10000 |
| Range | 10000 |
| Interquartile range (IQR) | 136 |
Descriptive statistics
| Standard deviation | 300.2960572 |
|---|---|
| Coefficient of variation (CV) | 1.39405111 |
| Kurtosis | 349.3877042 |
| Mean | 215.4125161 |
| Median Absolute Deviation (MAD) | 132.5243403 |
| Skewness | 13.82953469 |
| Sum | 1838115 |
| Variance | 90177.72198 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 29.5 39.5 40.5 41.5 ... 2998.5 2999.5 3275. 9999.5 10000. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 150 | 274 | 3.2% | |
| 100 | 247 | 2.9% | |
| 200 | 224 | 2.6% | |
| 250 | 213 | 2.5% | |
| 125 | 163 | 1.9% | |
| 199 | 150 | 1.8% | |
| 300 | 146 | 1.7% | |
| 120 | 140 | 1.6% | |
| 90 | 135 | 1.6% | |
| 99 | 133 | 1.6% | |
| Other values (516) | 6708 | 78.6% |
| Value | Count | Frequency (%) | |
| 0 | 2 | < 0.1% | |
| 10 | 4 | < 0.1% | |
| 12 | 1 | < 0.1% | |
| 19 | 2 | < 0.1% | |
| 20 | 2 | < 0.1% |
| Value | Count | Frequency (%) | |
| 10000 | 1 | < 0.1% | |
| 9999 | 1 | < 0.1% | |
| 8000 | 1 | < 0.1% | |
| 5000 | 1 | < 0.1% | |
| 4500 | 1 | < 0.1% |
property_type
Categorical
| Distinct count | 27 |
|---|---|
| Unique (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| Apartment | |
|---|---|
| House | |
| Condominium | |
| Guest suite | 592 |
| Boutique hotel | 338 |
| Other values (22) |
| Value | Count | Frequency (%) | |
| Apartment | 3466 | 40.6% | |
| House | 2375 | 27.8% | |
| Condominium | 910 | 10.7% | |
| Guest suite | 592 | 6.9% | |
| Boutique hotel | 338 | 4.0% | |
| Hotel | 145 | 1.7% | |
| Townhouse | 142 | 1.7% | |
| Loft | 132 | 1.5% | |
| Serviced apartment | 110 | 1.3% | |
| Hostel | 77 | 0.9% | |
| Other values (17) | 246 | 2.9% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 18 |
|---|---|
| Mean length | 8.392945037 |
| Min length | 3 |
| Distinct count | 2 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| f | |
|---|---|
| t | 414 |
| Value | Count | Frequency (%) | |
| f | 8119 | 95.1% | |
| t | 414 | 4.9% |
| Distinct count | 2 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| f | |
|---|---|
| t | 317 |
| Value | Count | Frequency (%) | |
| f | 8216 | 96.3% | |
| t | 317 | 3.7% |
requires_license
Boolean
| Distinct count | 2 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| t | |
|---|---|
| f | 65 |
| Value | Count | Frequency (%) | |
| t | 8468 | 99.2% | |
| f | 65 | 0.8% |
| Distinct count | 10 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 1937 |
| Missing (%) | 22.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.759248029 |
|---|---|
| Minimum | 2.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 10 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 8 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.7030407119 |
|---|---|
| Coefficient of variation (CV) | 0.07203841012 |
| Kurtosis | 38.22143339 |
| Mean | 9.759248029 |
| Median Absolute Deviation (MAD) | 0.4019346124 |
| Skewness | -5.159164206 |
| Sum | 64372 |
| Variance | 0.4942662426 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 10 | 5506 | 64.5% | |
| 9 | 832 | 9.8% | |
| 8 | 156 | 1.8% | |
| 7 | 39 | 0.5% | |
| 6 | 33 | 0.4% | |
| 4 | 13 | 0.2% | |
| 2 | 10 | 0.1% | |
| 5 | 6 | 0.1% | |
| 3 | 1 | < 0.1% | |
| (Missing) | 1937 | 22.7% |
| Value | Count | Frequency (%) | |
| 2 | 10 | 0.1% | |
| 3 | 1 | < 0.1% | |
| 4 | 13 | 0.2% | |
| 5 | 6 | 0.1% | |
| 6 | 33 | 0.4% |
| Value | Count | Frequency (%) | |
| 10 | 5506 | 64.5% | |
| 9 | 832 | 9.8% | |
| 8 | 156 | 1.8% | |
| 7 | 39 | 0.5% | |
| 6 | 33 | 0.4% |
| Distinct count | 9 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 1938 |
| Missing (%) | 22.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.852463988 |
|---|---|
| Minimum | 2.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 10 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 8 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.5642584011 |
|---|---|
| Coefficient of variation (CV) | 0.05727079052 |
| Kurtosis | 69.51546257 |
| Mean | 9.852463988 |
| Median Absolute Deviation (MAD) | 0.2647370989 |
| Skewness | -6.954982626 |
| Sum | 64977 |
| Variance | 0.3183875433 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 10 | 5917 | 69.3% | |
| 9 | 526 | 6.2% | |
| 8 | 98 | 1.1% | |
| 6 | 20 | 0.2% | |
| 7 | 16 | 0.2% | |
| 4 | 9 | 0.1% | |
| 2 | 8 | 0.1% | |
| 5 | 1 | < 0.1% | |
| (Missing) | 1938 | 22.7% |
| Value | Count | Frequency (%) | |
| 2 | 8 | 0.1% | |
| 4 | 9 | 0.1% | |
| 5 | 1 | < 0.1% | |
| 6 | 20 | 0.2% | |
| 7 | 16 | 0.2% |
| Value | Count | Frequency (%) | |
| 10 | 5917 | 69.3% | |
| 9 | 526 | 6.2% | |
| 8 | 98 | 1.1% | |
| 7 | 16 | 0.2% | |
| 6 | 20 | 0.2% |
| Distinct count | 10 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 1937 |
| Missing (%) | 22.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.611734384 |
|---|---|
| Minimum | 2.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 8 |
| Q1 | 9 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 8 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.8043335771 |
|---|---|
| Coefficient of variation (CV) | 0.08368245989 |
| Kurtosis | 17.38744518 |
| Mean | 9.611734384 |
| Median Absolute Deviation (MAD) | 0.5660342873 |
| Skewness | -3.393157771 |
| Sum | 63399 |
| Variance | 0.6469525032 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 10 | 4808 | 56.3% | |
| 9 | 1315 | 15.4% | |
| 8 | 325 | 3.8% | |
| 7 | 66 | 0.8% | |
| 6 | 50 | 0.6% | |
| 4 | 19 | 0.2% | |
| 5 | 6 | 0.1% | |
| 2 | 5 | 0.1% | |
| 3 | 2 | < 0.1% | |
| (Missing) | 1937 | 22.7% |
| Value | Count | Frequency (%) | |
| 2 | 5 | 0.1% | |
| 3 | 2 | < 0.1% | |
| 4 | 19 | 0.2% | |
| 5 | 6 | 0.1% | |
| 6 | 50 | 0.6% |
| Value | Count | Frequency (%) | |
| 10 | 4808 | 56.3% | |
| 9 | 1315 | 15.4% | |
| 8 | 325 | 3.8% | |
| 7 | 66 | 0.8% | |
| 6 | 50 | 0.6% |
| Distinct count | 9 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 1936 |
| Missing (%) | 22.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.825829923 |
|---|---|
| Minimum | 2.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 10 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 8 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.6291482809 |
|---|---|
| Coefficient of variation (CV) | 0.06403003978 |
| Kurtosis | 56.57896842 |
| Mean | 9.825829923 |
| Median Absolute Deviation (MAD) | 0.3076819889 |
| Skewness | -6.384343939 |
| Sum | 64821 |
| Variance | 0.3958275593 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 10 | 5827 | 68.3% | |
| 9 | 587 | 6.9% | |
| 8 | 105 | 1.2% | |
| 6 | 28 | 0.3% | |
| 7 | 26 | 0.3% | |
| 4 | 12 | 0.1% | |
| 2 | 10 | 0.1% | |
| 5 | 2 | < 0.1% | |
| (Missing) | 1936 | 22.7% |
| Value | Count | Frequency (%) | |
| 2 | 10 | 0.1% | |
| 4 | 12 | 0.1% | |
| 5 | 2 | < 0.1% | |
| 6 | 28 | 0.3% | |
| 7 | 26 | 0.3% |
| Value | Count | Frequency (%) | |
| 10 | 5827 | 68.3% | |
| 9 | 587 | 6.9% | |
| 8 | 105 | 1.2% | |
| 7 | 26 | 0.3% | |
| 6 | 28 | 0.3% |
| Distinct count | 10 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 1938 |
| Missing (%) | 22.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.688400303 |
|---|---|
| Minimum | 2.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 10 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 8 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.7166572454 |
|---|---|
| Coefficient of variation (CV) | 0.07397064768 |
| Kurtosis | 27.52189015 |
| Mean | 9.688400303 |
| Median Absolute Deviation (MAD) | 0.4778649481 |
| Skewness | -4.17320771 |
| Sum | 63895 |
| Variance | 0.5135976074 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 10 | 5057 | 59.3% | |
| 9 | 1245 | 14.6% | |
| 8 | 195 | 2.3% | |
| 6 | 40 | 0.5% | |
| 7 | 33 | 0.4% | |
| 4 | 13 | 0.2% | |
| 2 | 7 | 0.1% | |
| 5 | 4 | < 0.1% | |
| 3 | 1 | < 0.1% | |
| (Missing) | 1938 | 22.7% |
| Value | Count | Frequency (%) | |
| 2 | 7 | 0.1% | |
| 3 | 1 | < 0.1% | |
| 4 | 13 | 0.2% | |
| 5 | 4 | < 0.1% | |
| 6 | 40 | 0.5% |
| Value | Count | Frequency (%) | |
| 10 | 5057 | 59.3% | |
| 9 | 1245 | 14.6% | |
| 8 | 195 | 2.3% | |
| 7 | 33 | 0.4% | |
| 6 | 40 | 0.5% |
| Distinct count | 42 |
|---|---|
| Unique (%) | 0.5% |
| Missing | 1932 |
| Missing (%) | 22.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 95.52476897 |
|---|---|
| Minimum | 20.0 |
| Maximum | 100.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 82 |
| Q1 | 95 |
| median | 98 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 80 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 7.258059264 |
|---|---|
| Coefficient of variation (CV) | 0.07598091408 |
| Kurtosis | 28.10931754 |
| Mean | 95.52476897 |
| Median Absolute Deviation (MAD) | 4.379793534 |
| Skewness | -4.250673392 |
| Sum | 630559 |
| Variance | 52.67942428 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 100 | 1965 | 23.0% | |
| 98 | 798 | 9.4% | |
| 99 | 732 | 8.6% | |
| 97 | 626 | 7.3% | |
| 96 | 461 | 5.4% | |
| 95 | 384 | 4.5% | |
| 93 | 263 | 3.1% | |
| 94 | 248 | 2.9% | |
| 90 | 171 | 2.0% | |
| 80 | 166 | 1.9% | |
| Other values (31) | 787 | 9.2% | |
| (Missing) | 1932 | 22.6% |
| Value | Count | Frequency (%) | |
| 20 | 10 | 0.1% | |
| 30 | 1 | < 0.1% | |
| 40 | 8 | 0.1% | |
| 47 | 1 | < 0.1% | |
| 50 | 3 | < 0.1% |
| Value | Count | Frequency (%) | |
| 100 | 1965 | 23.0% | |
| 99 | 732 | 8.6% | |
| 98 | 798 | 9.4% | |
| 97 | 626 | 7.3% | |
| 96 | 461 | 5.4% |
| Distinct count | 9 |
|---|---|
| Unique (%) | 0.1% |
| Missing | 1938 |
| Missing (%) | 22.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.383320697 |
|---|---|
| Minimum | 2.0 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 8 |
| Q1 | 9 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 8 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.8405629926 |
|---|---|
| Coefficient of variation (CV) | 0.08958054613 |
| Kurtosis | 14.07743819 |
| Mean | 9.383320697 |
| Median Absolute Deviation (MAD) | 0.6420197257 |
| Skewness | -2.690466286 |
| Sum | 61883 |
| Variance | 0.7065461445 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 10 | 3433 | 40.2% | |
| 9 | 2584 | 30.3% | |
| 8 | 423 | 5.0% | |
| 6 | 69 | 0.8% | |
| 7 | 56 | 0.7% | |
| 4 | 13 | 0.2% | |
| 2 | 10 | 0.1% | |
| 5 | 7 | 0.1% | |
| (Missing) | 1938 | 22.7% |
| Value | Count | Frequency (%) | |
| 2 | 10 | 0.1% | |
| 4 | 13 | 0.2% | |
| 5 | 7 | 0.1% | |
| 6 | 69 | 0.8% | |
| 7 | 56 | 0.7% |
| Value | Count | Frequency (%) | |
| 10 | 3433 | 40.2% | |
| 9 | 2584 | 30.3% | |
| 8 | 423 | 5.0% | |
| 7 | 56 | 0.7% | |
| 6 | 69 | 0.8% |
| Distinct count | 811 |
|---|---|
| Unique (%) | 9.5% |
| Missing | 1891 |
| Missing (%) | 22.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.842878651 |
|---|---|
| Minimum | 0.01 |
| Maximum | 23.68 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0.01 |
|---|---|
| 5-th percentile | 0.08 |
| Q1 | 0.29 |
| median | 1 |
| Q3 | 2.78 |
| 95-th percentile | 6.12 |
| Maximum | 23.68 |
| Range | 23.67 |
| Interquartile range (IQR) | 2.49 |
Descriptive statistics
| Standard deviation | 2.077443937 |
|---|---|
| Coefficient of variation (CV) | 1.127282003 |
| Kurtosis | 5.374565534 |
| Mean | 1.842878651 |
| Median Absolute Deviation (MAD) | 1.60358039 |
| Skewness | 1.815904978 |
| Sum | 12240.4 |
| Variance | 4.315773311 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1 | 121 | 1.4% | |
| 0.11 | 88 | 1.0% | |
| 0.07 | 86 | 1.0% | |
| 0.09 | 78 | 0.9% | |
| 0.14 | 77 | 0.9% | |
| 0.06 | 77 | 0.9% | |
| 0.13 | 76 | 0.9% | |
| 0.1 | 72 | 0.8% | |
| 0.08 | 70 | 0.8% | |
| 0.15 | 69 | 0.8% | |
| Other values (800) | 5828 | 68.3% | |
| (Missing) | 1891 | 22.2% |
| Value | Count | Frequency (%) | |
| 0.01 | 7 | 0.1% | |
| 0.02 | 21 | 0.2% | |
| 0.03 | 35 | 0.4% | |
| 0.04 | 45 | 0.5% | |
| 0.05 | 51 | 0.6% |
| Value | Count | Frequency (%) | |
| 23.68 | 1 | < 0.1% | |
| 21.21 | 1 | < 0.1% | |
| 17.24 | 1 | < 0.1% | |
| 14.46 | 1 | < 0.1% | |
| 13.75 | 1 | < 0.1% |
room_type
Categorical
| Distinct count | 4 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| Entire home/apt | |
|---|---|
| Private room | |
| Shared room | 293 |
| Hotel room | 154 |
| Value | Count | Frequency (%) | |
| Entire home/apt | 4967 | 58.2% | |
| Private room | 3119 | 36.6% | |
| Shared room | 293 | 3.4% | |
| Hotel room | 154 | 1.8% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 15 |
|---|---|
| Mean length | 13.67584671 |
| Min length | 10 |
| Distinct count | 1 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| 2.01912e+13 |
|---|
| Value | Count | Frequency (%) | |
| 2.01912e+13 | 8533 | 100.0% |
Composition
| Contains chars | False |
|---|---|
| Contains digits | True |
| Contains whitespace | False |
| Contains non-words | True |
Length
| Max length | 16 |
|---|---|
| Mean length | 16 |
| Min length | 16 |
| Distinct count | 97 |
|---|---|
| Unique (%) | 1.1% |
| Missing | 1759 |
| Missing (%) | 20.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 462.0528491 |
|---|---|
| Minimum | 0.0 |
| Maximum | 5100.0 |
| Zeros | 2257 |
| Zeros (%) | 26.5% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 250 |
| Q3 | 500 |
| 95-th percentile | 2000 |
| Maximum | 5100 |
| Range | 5100 |
| Interquartile range (IQR) | 500 |
Descriptive statistics
| Standard deviation | 772.8611687 |
|---|---|
| Coefficient of variation (CV) | 1.672668333 |
| Kurtosis | 14.43026326 |
| Mean | 462.0528491 |
| Median Absolute Deviation (MAD) | 446.9850634 |
| Skewness | 3.485394749 |
| Sum | 3129946 |
| Variance | 597314.3861 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 2257 | 26.5% | |
| 500 | 1286 | 15.1% | |
| 200 | 420 | 4.9% | |
| 1000 | 411 | 4.8% | |
| 300 | 399 | 4.7% | |
| 100 | 384 | 4.5% | |
| 250 | 311 | 3.6% | |
| 400 | 195 | 2.3% | |
| 150 | 169 | 2.0% | |
| 2000 | 132 | 1.5% | |
| Other values (86) | 810 | 9.5% | |
| (Missing) | 1759 | 20.6% |
| Value | Count | Frequency (%) | |
| 0 | 2257 | 26.5% | |
| 95 | 6 | 0.1% | |
| 100 | 384 | 4.5% | |
| 110 | 1 | < 0.1% | |
| 113 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 5100 | 2 | < 0.1% | |
| 5000 | 61 | 0.7% | |
| 4990 | 1 | < 0.1% | |
| 4800 | 2 | < 0.1% | |
| 4725 | 1 | < 0.1% |
smart_location
Categorical
| Distinct count | 17 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| San Francisco, CA | |
|---|---|
| Daly City, CA | 41 |
| CA | 9 |
| San Francisco | 6 |
| San Francisco, Ca | 4 |
| Other values (12) | 13 |
| Value | Count | Frequency (%) | |
| San Francisco, CA | 8460 | 99.1% | |
| Daly City, CA | 41 | 0.5% | |
| CA | 9 | 0.1% | |
| San Francisco | 6 | 0.1% | |
| San Francisco, Ca | 4 | < 0.1% | |
| San Francisco , CA | 2 | < 0.1% | |
| San Francisco, Hayes Valley, CA | 1 | < 0.1% | |
| South San Francisco, CA | 1 | < 0.1% | |
| Nor cal, CA | 1 | < 0.1% | |
| US, | 1 | < 0.1% | |
| Other values (7) | 7 | 0.1% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 31 |
|---|---|
| Mean length | 16.96273292 |
| Min length | 2 |
| Distinct count | 5892 |
|---|---|
| Unique (%) | 69.0% |
| Missing | 1208 |
| Missing (%) | 14.2% |
| Memory size | 66.7 KiB |
| At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. | 253 |
|---|---|
| - Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport | 60 |
| A comfortable urban oasis in a full service hotel. This hotel room provides a queen size bed and full private bathroom. Ground floor amenities include a pleasant lobby complete with a cozy fireplace, a guest laundry room, and a fully equipped exercise room. | 51 |
| Our space is designed as a landing pad for entrepreneurs, designers, engineers, innovators, and other creative minds from the broader startup community. We offer a great community and a space that allows our members to live in the exciting, friendly, clean, and safe environment they deserve. A quick fyi: just like an Hotel, when you book with us, you don't chose a specific room. We have several categories depending on how many beds the room has, it's square footage, and the size of the bed. Each listing in our Airbnb account show pictures of a room category example, and this is exactly what you chose: a room category (not the exact room you will stay in). However, even if you don't get the exact room you saw on the pictures, we guarantee it will be a room with the same square footage, the same furniture, and same natural light! ;) | 45 |
| DESCRIPTION With 400 square feet of space and 10 foot ceilings, these rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including wet-bar and sink, compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. No rollaways are available. Services & Amenities: Spacious studio accommodations 24-hour front desk Concierge services Intimate Italian dining at Zingari Ristorante Indoor valet parking ($32 per night, unlimited in and out privileges) Meeting facilities Dry cleaning services (fee) Rooftop deck Fireplace Exercise facility (7AM - 1030PM) Hot tub Sauna Spa services (fee) ATM machine Internet kiosk in lobby (free) Complimentary wireless Internet access Resort Facts: Check-in time: 3:00 pm Check-out time: 12:00 pm Front desk hours: 24 hours per day Deposit: $50 per day (authorized hold upon Check-in, fully refundable) M | 29 |
| Other values (5886) |
| Value | Count | Frequency (%) | |
| At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. | 253 | 3.0% | |
| - Private bathroom - Staffed front desk - Overnight security Tenderloin highlights - Walkability score: 98 - 1 minute walk to Brenda’s French Soul Food (cozy spot for savory Southern fare) - 1 minute walk to Whitechapel (unique cocktail lounge with gin-focused drinks) Getting around - 5 minute drive to Civic Center station - 14 minute drive to downtown - 25 minute drive to SFO Airport - 37 minute drive to OAK Airport | 60 | 0.7% | |
| A comfortable urban oasis in a full service hotel. This hotel room provides a queen size bed and full private bathroom. Ground floor amenities include a pleasant lobby complete with a cozy fireplace, a guest laundry room, and a fully equipped exercise room. | 51 | 0.6% | |
| Our space is designed as a landing pad for entrepreneurs, designers, engineers, innovators, and other creative minds from the broader startup community. We offer a great community and a space that allows our members to live in the exciting, friendly, clean, and safe environment they deserve. A quick fyi: just like an Hotel, when you book with us, you don't chose a specific room. We have several categories depending on how many beds the room has, it's square footage, and the size of the bed. Each listing in our Airbnb account show pictures of a room category example, and this is exactly what you chose: a room category (not the exact room you will stay in). However, even if you don't get the exact room you saw on the pictures, we guarantee it will be a room with the same square footage, the same furniture, and same natural light! ;) | 45 | 0.5% | |
| DESCRIPTION With 400 square feet of space and 10 foot ceilings, these rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including wet-bar and sink, compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. No rollaways are available. Services & Amenities: Spacious studio accommodations 24-hour front desk Concierge services Intimate Italian dining at Zingari Ristorante Indoor valet parking ($32 per night, unlimited in and out privileges) Meeting facilities Dry cleaning services (fee) Rooftop deck Fireplace Exercise facility (7AM - 1030PM) Hot tub Sauna Spa services (fee) ATM machine Internet kiosk in lobby (free) Complimentary wireless Internet access Resort Facts: Check-in time: 3:00 pm Check-out time: 12:00 pm Front desk hours: 24 hours per day Deposit: $50 per day (authorized hold upon Check-in, fully refundable) M | 29 | 0.3% | |
| Why should you stay with us? The People The Startup House community attracts many talented individuals from around the world. From Stanford students, to developers and entrepreneurs, we provide each with a unique opportunity to network, connect with likeminded people or just make interesting new friends. Share experiences and engaging conversations with our guests, while learning and achieving your goals. The House Each house is conveniently furnished to guarantee you a comfortable stay. Through our 5 locations, everything is done so that you can work, relax, and study. The San Francisco Downtown Startup House is very comfortable and full of interesting individuals, it has 4 bathrooms with showers and a common co-working hall with complimentary tea and coffee. Wifi is available throughout the building and the laundry on the site is free of charge. The kitchen is equipped with all necessary appliances including two refrigerators, electric cooktop with a stove, microwave and coffee make | 29 | 0.3% | |
| Why should you stay with us? The People The Startup House community attracts many talented individuals from around the world. From Stanford students, to developers and entrepreneurs, we provide each with a unique opportunity to network, connect with likeminded people or just make interesting new friends. Share experiences and engaging conversations with our guests, while learning and achieving your goals. The House This house is perfectly located in SF, in a calm & high quality area. You will be in a shared room, in your own "cubicle", with a bunk bed just for you. We suggest you sleep on top, and chill out below) The events We organize weekly and monthly events to bring our community together and offer them opportunities to network and grow by meeting new people. Events include parties, dinners or tours around the area, as well as multiple Meetup events. We also organize a monthly Investor Barbecue Pitch Party, where entrepreneurs will have the opportunity to network and present their | 24 | 0.3% | |
| Private Room | 22 | 0.3% | |
| The workout room means you don't have to leave your routine when you're away from home. The main floor has a free laundry room. WiFi is $4.95/day. Ask about parking charges. | 20 | 0.2% | |
| With 400 square feet of space and 10 foot ceilings, the Donatello rooms are some of the largest in the San Francisco area. Rooms are elegant and provide many of the luxuries of home including compact refrigerator and microwave, sofa sleeper, cd player and in-room safe. All rooms have one KING BED and one QUEEN SLEEPER SOFA and sleep maximum of 4 people. | 18 | 0.2% | |
| Other values (5881) | 6774 | 79.4% | |
| (Missing) | 1208 | 14.2% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1000 |
|---|---|
| Mean length | 488.8796437 |
| Min length | 1 |
| Distinct count | 58 |
|---|---|
| Unique (%) | 0.7% |
| Missing | 8407 |
| Missing (%) | 98.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1041.857143 |
|---|---|
| Minimum | 0.0 |
| Maximum | 5500.0 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 500 |
| median | 851.5 |
| Q3 | 1497.5 |
| 95-th percentile | 2287.5 |
| Maximum | 5500 |
| Range | 5500 |
| Interquartile range (IQR) | 997.5 |
Descriptive statistics
| Standard deviation | 826.4894503 |
|---|---|
| Coefficient of variation (CV) | 0.7932848145 |
| Kurtosis | 5.890394294 |
| Mean | 1041.857143 |
| Median Absolute Deviation (MAD) | 615 |
| Skewness | 1.710082977 |
| Sum | 131274 |
| Variance | 683084.8114 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1200 | 10 | 0.1% | |
| 1000 | 9 | 0.1% | |
| 1500 | 6 | 0.1% | |
| 500 | 6 | 0.1% | |
| 600 | 5 | 0.1% | |
| 800 | 5 | 0.1% | |
| 750 | 5 | 0.1% | |
| 2000 | 4 | < 0.1% | |
| 3000 | 4 | < 0.1% | |
| 300 | 4 | < 0.1% | |
| Other values (47) | 68 | 0.8% | |
| (Missing) | 8407 | 98.5% |
| Value | Count | Frequency (%) | |
| 0 | 2 | < 0.1% | |
| 1 | 3 | < 0.1% | |
| 2 | 2 | < 0.1% | |
| 14 | 1 | < 0.1% | |
| 120 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 5500 | 1 | < 0.1% | |
| 3000 | 4 | < 0.1% | |
| 2600 | 1 | < 0.1% | |
| 2300 | 1 | < 0.1% | |
| 2250 | 1 | < 0.1% |
state
Categorical
| Distinct count | 4 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 7 |
| Missing (%) | 0.1% |
| Memory size | 66.7 KiB |
| CA | |
|---|---|
| Ca | 5 |
| Ça | 1 |
| Value | Count | Frequency (%) | |
| CA | 8520 | 99.8% | |
| Ca | 5 | 0.1% | |
| Ça | 1 | < 0.1% | |
| (Missing) | 7 | 0.1% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | False |
| Contains non-words | False |
Length
| Max length | 3 |
|---|---|
| Mean length | 2.000820345 |
| Min length | 2 |
street
Categorical
| Distinct count | 17 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 66.7 KiB |
| San Francisco, CA, United States | |
|---|---|
| Daly City, CA, United States | 41 |
| CA, CA, United States | 9 |
| San Francisco, United States | 6 |
| San Francisco, Ca, United States | 4 |
| Other values (12) | 13 |
| Value | Count | Frequency (%) | |
| San Francisco, CA, United States | 8460 | 99.1% | |
| Daly City, CA, United States | 41 | 0.5% | |
| CA, CA, United States | 9 | 0.1% | |
| San Francisco, United States | 6 | 0.1% | |
| San Francisco, Ca, United States | 4 | < 0.1% | |
| San Francisco , CA, United States | 2 | < 0.1% | |
| South San Francisco, CA, United States | 1 | < 0.1% | |
| San Francisco, Hayes Valley, CA, United States | 1 | < 0.1% | |
| Nor cal, CA, United States | 1 | < 0.1% | |
| US, United States | 1 | < 0.1% | |
| Other values (7) | 7 | 0.1% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | False |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 46 |
|---|---|
| Mean length | 31.96671745 |
| Min length | 17 |
| Distinct count | 6789 |
|---|---|
| Unique (%) | 79.6% |
| Missing | 213 |
| Missing (%) | 2.5% |
| Memory size | 66.7 KiB |
| At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. Enjoy a stay with Zeus! We have 1375+ reviews (see below). | 247 |
|---|---|
| Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive | 174 |
| Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in | 49 |
| A hip laid back place to stay in downtown San Francisco with a great location! | 43 |
| An urban oasis awaits. Your comfortable hotel room is close to Moscone Center and provides the ease of a hotel stay for the discerning business traveler. Larger room than usual in San Francisco. Friendly onsite staff ready to help 24/7. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. Microwave and mini fridge in each room. Queen size bed and full private bathroom. Bag storage at front desk before and after your stay. Offering the lowest rates for a business class hotel near Moscone Center. ***Three night minimum stay during peak weeks. I would be thrilled to host you, book now! | 38 |
| Other values (6783) |
| Value | Count | Frequency (%) | |
| At Zeus, we focus exclusively on 30 day+ stays to meet the longer-term needs of our valued guests. When you stay in a Zeus property you will be met with top-notch amenities including premium mattresses and bedding, organic bath products, bath linens, a fully equipped kitchen, and super-fast wifi. Our staff is on call should anything come up that needs our attention or that can make your stay more enjoyable. Enjoy a stay with Zeus! We have 1375+ reviews (see below). | 247 | 2.9% | |
| Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive | 174 | 2.0% | |
| Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Coffee, fresh towels, and bathroom essentials provided - Hotel-standard cleaning before you arrive - Self check-in | 49 | 0.6% | |
| A hip laid back place to stay in downtown San Francisco with a great location! | 43 | 0.5% | |
| An urban oasis awaits. Your comfortable hotel room is close to Moscone Center and provides the ease of a hotel stay for the discerning business traveler. Larger room than usual in San Francisco. Friendly onsite staff ready to help 24/7. Enjoy easy check-in, simply show your ID and credit card at the hotel’s front desk. Microwave and mini fridge in each room. Queen size bed and full private bathroom. Bag storage at front desk before and after your stay. Offering the lowest rates for a business class hotel near Moscone Center. ***Three night minimum stay during peak weeks. I would be thrilled to host you, book now! | 38 | 0.4% | |
| Featured in The New York Times, The Wall Street Journal, and Fast Company, we’ve hosted over 350k guests in 2,500+ spaces with an average rating of 4.6 stars. Each space is designed and run by us, so you’ll always know what to expect from your stay. At Sonder, we’ve combined the best parts of home and hotel. - 24/7 support via text, email, or phone - Fresh towels and bathroom essentials provided - Hotel-standard cleaning before you arrive | 37 | 0.4% | |
| The Donatello is a timeshare/hotel which is one of the top hotels in San Francisco. Just show up and check in like any other hotel, no arranging to get keys necessary. - 1 KING BED and 1 QUEEN SLEEPER SOFA - Parking: $32 per night | 28 | 0.3% | |
| More than a house, we are a startup founders community. We host entrepreneurs, but also engineers and students who want to start their own business. Live, learn and achieve, while getting the full Silicon Valley experience! Our House is professionally cleaned twice a week. Upon booking, please introduce yourself as well as your startup (or dream) to us, thanks and welcome to our community! | 27 | 0.3% | |
| Are you a bootstrapping founder or a techie lacking a private room budget in this crazy-expensive city? Then share a room with your peers or with some other people with the same mindset. Enjoy the community and a friendly, safe, and welcoming environment without breaking your piggy bank. The ideal landing pad for entrepreneurs and other builders/hustlers in San Francisco! For more information about our houses feel free to check: (Website hidden by Airbnb) | 26 | 0.3% | |
| Close to Union Square, Nob Hill, Chinatown, and the cable car, this hotel suite offers a quintessential San Francisco experience. Your room at the Worldmark San Francisco is well equipped for exploring the city with a queen size bed, full bathroom, and mini-fridge to store leftovers from the area's great restaurants. | 25 | 0.3% | |
| Other values (6778) | 7626 | 89.4% | |
| (Missing) | 213 | 2.5% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1000 |
|---|---|
| Mean length | 353.3078636 |
| Min length | 3 |
| Distinct count | 4661 |
|---|---|
| Unique (%) | 54.6% |
| Missing | 2606 |
| Missing (%) | 30.5% |
| Memory size | 66.7 KiB |
| In such a wonderful neighborhood there are a huge variety of choices for shopping and dining. Moscone Center is within walking distance. Please visit (Website hidden by Airbnb) for information about transportation in San Francisco. This unit is located downtown with many public transportation options. | 51 |
|---|---|
| A few blocks from Montgomery BART station, and close to the street car, cable car, and Muni-metro. | 36 |
| The house is right around the corner from the MUNI Bus stop at Clay and Larkin, buses run roughly every 10 minutes. This route takes you directly into the FiDi area and will make your morning ride into the heart of downtown simple. If you’re a biker, we offer secured storage in our back yard. Besides all of these, the city is equipped with multiple gig economy businesses to get you around town. Lyft and Uber are prevalent and offer rides to anywhere you need to go within minutes, Scoot offers motor bike rentals for $3 = 30 minutes, which is enough to take you anywhere in the city. Bird, Spin and Lime offer a brand new option to grab a standup scooter to ride starting at $1. Ford Go bikes and JUMP are the best bike share companies if you don’t want to worry about bringing or purchasing your own bike. Utilizing these great options will keep you out of traffic and getting to where you want to be. | 35 |
| How to get here from SFO airport : > By Public Transit : Board the BART towards San Francisco. Get off at the UN Plaza stop and walk to the northwest corner of Market St. Board the 7 or 7R Bus to Haight and get off at the Clayton St Stop. Walk to 1665 Haight St. You can also take the 6 to Masonic St, and walk 3 blocks to The Red Vic. > By Car Share Taxi : If you have a smart phone and access to the internet you can take advantage of one of the car sharing services in San Francisco. These services offer a convenient app, faster pick-ups and lower prices than taxis. You can use Lyft or Uber. For Lyft, use the code KYLE2242 to get $10 in free rides. Lyft has multiple services and Lyft Line will be the least expensive option. For Uber, use the code FFT3C to get $10 in free rides. Uber has multiple services and Uber Pool will be the least expensive option. > By Taxi Service : You can call Yellow Cab for a pickup. Valet Parking: Another option which we have heard good things about is L | 29 |
| The closest bus stop is just 100ft away! | 29 |
| Other values (4655) |
| Value | Count | Frequency (%) | |
| In such a wonderful neighborhood there are a huge variety of choices for shopping and dining. Moscone Center is within walking distance. Please visit (Website hidden by Airbnb) for information about transportation in San Francisco. This unit is located downtown with many public transportation options. | 51 | 0.6% | |
| A few blocks from Montgomery BART station, and close to the street car, cable car, and Muni-metro. | 36 | 0.4% | |
| The house is right around the corner from the MUNI Bus stop at Clay and Larkin, buses run roughly every 10 minutes. This route takes you directly into the FiDi area and will make your morning ride into the heart of downtown simple. If you’re a biker, we offer secured storage in our back yard. Besides all of these, the city is equipped with multiple gig economy businesses to get you around town. Lyft and Uber are prevalent and offer rides to anywhere you need to go within minutes, Scoot offers motor bike rentals for $3 = 30 minutes, which is enough to take you anywhere in the city. Bird, Spin and Lime offer a brand new option to grab a standup scooter to ride starting at $1. Ford Go bikes and JUMP are the best bike share companies if you don’t want to worry about bringing or purchasing your own bike. Utilizing these great options will keep you out of traffic and getting to where you want to be. | 35 | 0.4% | |
| How to get here from SFO airport : > By Public Transit : Board the BART towards San Francisco. Get off at the UN Plaza stop and walk to the northwest corner of Market St. Board the 7 or 7R Bus to Haight and get off at the Clayton St Stop. Walk to 1665 Haight St. You can also take the 6 to Masonic St, and walk 3 blocks to The Red Vic. > By Car Share Taxi : If you have a smart phone and access to the internet you can take advantage of one of the car sharing services in San Francisco. These services offer a convenient app, faster pick-ups and lower prices than taxis. You can use Lyft or Uber. For Lyft, use the code KYLE2242 to get $10 in free rides. Lyft has multiple services and Lyft Line will be the least expensive option. For Uber, use the code FFT3C to get $10 in free rides. Uber has multiple services and Uber Pool will be the least expensive option. > By Taxi Service : You can call Yellow Cab for a pickup. Valet Parking: Another option which we have heard good things about is L | 29 | 0.3% | |
| The closest bus stop is just 100ft away! | 29 | 0.3% | |
| We are surrounded by numerous MUNI bus and train lines making it easy to get around the city if you're without a car. We're a 15 minute walk away of the Montgomery BART station - a good place to get off if you're taking the BART train to us from the airport. If you are driving, a discount parking coupon is available at check-in for a nearby parking garage for $20 for a standard vehicle. Please use our loading zone in front of the hostel to unload your luggage and collect the parking coupon. | 25 | 0.3% | |
| Getting around the city is convenient using MUNI, the public transportation system which includes buses, trolleys, underground and surface trains and the famed cable cars. Please see the front desk for more information. | 25 | 0.3% | |
| To locate transportation and elements around the house, please use Alamo Square Park as a reference point. The house is at walking distance to buses 5,22,89 and more, as well as the Bart Civic Station. | 25 | 0.3% | |
| We are located in the transportation hub of the entire city. | 19 | 0.2% | |
| Walk and take public transportation to anywhere in San Francisco. The unit is within walking distance of major attractions and conventions. All forms of public transportation are nearby. Walk to San Francisco's largest conventions at the Moscone Center. | 17 | 0.2% | |
| Other values (4650) | 5636 | 66.0% | |
| (Missing) | 2606 | 30.5% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 1000 |
|---|---|
| Mean length | 232.4577523 |
| Min length | 3 |
| Distinct count | 322 |
|---|---|
| Unique (%) | 3.8% |
| Missing | 7480 |
| Missing (%) | 87.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1360.642925 |
|---|---|
| Minimum | 250.0 |
| Maximum | 9999.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 66.7 KiB |
Quantile statistics
| Minimum | 250 |
|---|---|
| 5-th percentile | 451.2 |
| Q1 | 750 |
| median | 1050 |
| Q3 | 1547 |
| 95-th percentile | 3200 |
| Maximum | 9999 |
| Range | 9749 |
| Interquartile range (IQR) | 797 |
Descriptive statistics
| Standard deviation | 1055.749173 |
|---|---|
| Coefficient of variation (CV) | 0.7759193496 |
| Kurtosis | 15.45612199 |
| Mean | 1360.642925 |
| Median Absolute Deviation (MAD) | 674.7972699 |
| Skewness | 3.219535679 |
| Sum | 1432757 |
| Variance | 1114606.317 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 1000 | 49 | 0.6% | |
| 1200 | 37 | 0.4% | |
| 700 | 34 | 0.4% | |
| 1500 | 30 | 0.4% | |
| 800 | 27 | 0.3% | |
| 900 | 26 | 0.3% | |
| 1400 | 24 | 0.3% | |
| 600 | 24 | 0.3% | |
| 850 | 24 | 0.3% | |
| 750 | 23 | 0.3% | |
| Other values (311) | 755 | 8.8% | |
| (Missing) | 7480 | 87.7% |
| Value | Count | Frequency (%) | |
| 250 | 1 | < 0.1% | |
| 270 | 1 | < 0.1% | |
| 280 | 1 | < 0.1% | |
| 300 | 12 | 0.1% | |
| 329 | 9 | 0.1% |
| Value | Count | Frequency (%) | |
| 9999 | 1 | < 0.1% | |
| 9500 | 1 | < 0.1% | |
| 9000 | 1 | < 0.1% | |
| 7500 | 1 | < 0.1% | |
| 7000 | 3 | < 0.1% |
| Distinct count | 48 |
|---|---|
| Unique (%) | 0.6% |
| Missing | 245 |
| Missing (%) | 2.9% |
| Memory size | 66.7 KiB |
| 94110 | |
|---|---|
| 94117 | 699 |
| 94114 | 668 |
| 94109 | 664 |
| 94103 | 530 |
| Other values (42) |
| Value | Count | Frequency (%) | |
| 94110 | 1009 | 11.8% | |
| 94117 | 699 | 8.2% | |
| 94114 | 668 | 7.8% | |
| 94109 | 664 | 7.8% | |
| 94103 | 530 | 6.2% | |
| 94102 | 473 | 5.5% | |
| 94112 | 408 | 4.8% | |
| 94122 | 367 | 4.3% | |
| 94107 | 351 | 4.1% | |
| 94108 | 291 | 3.4% | |
| Other values (37) | 2828 | 33.1% |
Composition
| Contains chars | True |
|---|---|
| Contains digits | True |
| Contains whitespace | True |
| Contains non-words | True |
Length
| Max length | 8 |
|---|---|
| Mean length | 5.004453299 |
| Min length | 2 |
First rows
| access | accommodates | amenities | availability_30 | availability_365 | availability_60 | availability_90 | bathrooms | bed_type | bedrooms | beds | calculated_host_listings_count | calculated_host_listings_count_entire_homes | calculated_host_listings_count_private_rooms | calculated_host_listings_count_shared_rooms | calendar_last_scraped | calendar_updated | cancellation_policy | city | cleaning_fee | country | country_code | description | experiences_offered | extra_people | first_review | guests_included | has_availability | host_about | host_acceptance_rate | host_has_profile_pic | host_id | host_identity_verified | host_is_superhost | host_listings_count | host_location | host_name | host_neighbourhood | host_picture_url | host_response_rate | host_response_time | host_since | host_thumbnail_url | host_total_listings_count | host_url | host_verifications | house_rules | id | instant_bookable | interaction | is_business_travel_ready | is_location_exact | jurisdiction_names | last_review | last_scraped | latitude | license | listing_url | longitude | market | maximum_maximum_nights | maximum_minimum_nights | maximum_nights | maximum_nights_avg_ntm | medium_url | minimum_maximum_nights | minimum_minimum_nights | minimum_nights | minimum_nights_avg_ntm | monthly_price | name | neighborhood_overview | neighbourhood | neighbourhood_cleansed | neighbourhood_group_cleansed | notes | number_of_reviews | number_of_reviews_ltm | picture_url | price | property_type | require_guest_phone_verification | require_guest_profile_picture | requires_license | review_scores_accuracy | review_scores_checkin | review_scores_cleanliness | review_scores_communication | review_scores_location | review_scores_rating | review_scores_value | reviews_per_month | room_type | scrape_id | security_deposit | smart_location | space | square_feet | state | street | summary | thumbnail_url | transit | weekly_price | xl_picture_url | zipcode | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | *Full access to patio and backyard (shared wit... | 3 | {TV,"Cable TV",Internet,Wifi,Kitchen,"Pets liv... | 2 | 71 | 4 | 12 | 1.0 | Real Bed | 1.0 | 2.0 | 1 | 1 | 0 | 0 | 12/4/19 | 7 weeks ago | moderate | San Francisco | $100.00 | United States | US | New update: the house next door is under const... | none | $25.00 | 7/23/09 | 2 | t | We are a family with 2 boys born in 2009 and 2... | NaN | t | 1169 | t | t | 1.0 | San Francisco, California, United States | Holly | Duboce Triangle | https://a0.muscache.com/im/pictures/user/efdad... | 86% | within a day | 7/31/08 | https://a0.muscache.com/im/pictures/user/efdad... | 1.0 | https://www.airbnb.com/users/show/1169 | ['email', 'phone', 'facebook', 'reviews', 'kba'] | * No Pets - even visiting guests for a short t... | 958 | f | A family of 4 lives upstairs with their dog. N... | f | t | {"SAN FRANCISCO"} | 11/17/19 | 12/4/19 | 37.76931 | STR-0001256 | https://www.airbnb.com/rooms/958 | -122.43386 | San Francisco | 30 | 1 | 30 | 30.0 | NaN | 30 | 1 | 1 | 1.0 | 4200.0 | Bright, Modern Garden Unit - 1BR/1B | *Quiet cul de sac in friendly neighborhood *St... | Duboce Triangle | Western Addition | NaN | Due to the fact that we have children and a do... | 226 | 51 | https://a0.muscache.com/im/pictures/b7c2a199-4... | 170.0 | Apartment | f | f | t | 10.0 | 10.0 | 10.0 | 10.0 | 10.0 | 97.0 | 9.0 | 1.79 | Entire home/apt | 2.019120e+13 | 100.0 | San Francisco, CA | Newly remodeled, modern, and bright garden uni... | NaN | CA | San Francisco, CA, United States | New update: the house next door is under const... | NaN | *Public Transportation is 1/2 block away. *Ce... | 1120.0 | NaN | 94117 |
| 1 | During the hours of 7:00 to 22:00, your access... | 2 | {Internet,Wifi,Kitchen,Breakfast,"Free street ... | 18 | 74 | 44 | 74 | 1.0 | Real Bed | 1.0 | 1.0 | 3 | 0 | 3 | 0 | 12/4/19 | today | strict_14_with_grace_period | San Francisco | $10.00 | United States | US | Your own private room plus access to a shared ... | none | $20.00 | 7/16/09 | 2 | t | I am a retired software developer now raising ... | NaN | t | 4921 | t | t | 2.0 | San Francisco, California, United States | Kevin | Inner Sunset | https://a0.muscache.com/im/pictures/user/97d29... | 100% | within an hour | 12/8/08 | https://a0.muscache.com/im/pictures/user/97d29... | 2.0 | https://www.airbnb.com/users/show/4921 | ['email', 'phone', 'reviews', 'jumio', 'govern... | Airbnb has no default house rules that hosts c... | 3850 | f | I live at the house in my own bedroom, and I w... | f | t | {"SAN FRANCISCO"} | 12/1/19 | 12/4/19 | 37.75402 | STR-0000346 | https://www.airbnb.com/rooms/3850 | -122.45805 | San Francisco | 5 | 1 | 5 | 5.0 | NaN | 5 | 1 | 1 | 1.0 | NaN | Charming room for two | This is a quiet, safe neighborhood on a substa... | Inner Sunset | Inner Sunset | NaN | House Rule footnotes: 1.\tI don’t allow check ... | 175 | 51 | https://a0.muscache.com/im/pictures/b6e97d2a-1... | 99.0 | House | f | f | t | 10.0 | 10.0 | 10.0 | 10.0 | 10.0 | 95.0 | 10.0 | 1.38 | Private room | 2.019120e+13 | 0.0 | San Francisco, CA | This room can fit two people. Nobody else will... | NaN | CA | San Francisco, CA, United States | Your own private room plus access to a shared ... | NaN | Public transit service to my house is outstand... | NaN | NaN | 94131 |
| 2 | Our deck, garden, gourmet kitchen and extensiv... | 5 | {Internet,Wifi,Kitchen,Heating,"Family/kid fri... | 1 | 1 | 1 | 1 | 1.0 | Real Bed | 2.0 | 3.0 | 1 | 1 | 0 | 0 | 12/5/19 | 2 months ago | strict_14_with_grace_period | San Francisco | $100.00 | United States | US | We live in a large Victorian house on a quiet ... | none | $0.00 | 5/3/09 | 2 | t | Philip: English transplant to the Bay Area and... | NaN | t | 8904 | t | f | 2.0 | San Francisco, California, United States | Philip And Tania | Bernal Heights | https://a0.muscache.com/im/users/8904/profile_... | 60% | within a day | 3/2/09 | https://a0.muscache.com/im/users/8904/profile_... | 2.0 | https://www.airbnb.com/users/show/8904 | ['email', 'phone', 'reviews', 'kba', 'work_ema... | Please respect the house, the art work, the fu... | 5858 | f | NaN | f | t | {"SAN FRANCISCO"} | 8/6/17 | 12/5/19 | 37.74511 | NaN | https://www.airbnb.com/rooms/5858 | -122.42102 | San Francisco | 60 | 30 | 60 | 60.0 | NaN | 60 | 30 | 30 | 30.0 | 5500.0 | Creative Sanctuary | I love how our neighborhood feels quiet but is... | Bernal Heights | Bernal Heights | NaN | All the furniture in the house was handmade so... | 111 | 0 | https://a0.muscache.com/im/pictures/17714/3a7a... | 235.0 | Apartment | f | f | t | 10.0 | 10.0 | 10.0 | 10.0 | 10.0 | 98.0 | 9.0 | 0.86 | Entire home/apt | 2.019120e+13 | NaN | San Francisco, CA | We live in a large Victorian house on a quiet ... | NaN | CA | San Francisco, CA, United States | NaN | NaN | The train is two blocks away and you can stop ... | 1600.0 | NaN | 94110 |
| 3 | NaN | 2 | {TV,Internet,Wifi,Kitchen,"Free street parking... | 30 | 365 | 60 | 90 | 4.0 | Real Bed | 1.0 | 1.0 | 9 | 0 | 9 | 0 | 12/4/19 | 3 weeks ago | strict_14_with_grace_period | San Francisco | $50.00 | United States | US | Nice and good public transportation. 7 minute... | none | $12.00 | 8/31/09 | 1 | t | 7 minutes walk to UCSF hospital & school campu... | NaN | t | 21994 | t | t | 10.0 | San Francisco, California, United States | Aaron | Cole Valley | https://a0.muscache.com/im/users/21994/profile... | 83% | within an hour | 6/17/09 | https://a0.muscache.com/im/users/21994/profile... | 10.0 | https://www.airbnb.com/users/show/21994 | ['email', 'phone', 'reviews', 'jumio', 'govern... | No party, No smoking, not for any kinds of smo... | 7918 | f | NaN | f | t | {"SAN FRANCISCO"} | 9/10/19 | 12/4/19 | 37.76669 | NaN | https://www.airbnb.com/rooms/7918 | -122.45250 | San Francisco | 60 | 32 | 60 | 60.0 | NaN | 60 | 32 | 32 | 32.0 | 1685.0 | A Friendly Room - UCSF/USF - San Francisco | Shopping old town, restaurants, McDonald, Whol... | Cole Valley | Haight Ashbury | NaN | Wi-Fi signal in common areas. Large eat in k... | 18 | 1 | https://a0.muscache.com/im/pictures/26356/8030... | 65.0 | Apartment | f | f | t | 8.0 | 9.0 | 8.0 | 9.0 | 9.0 | 86.0 | 8.0 | 0.14 | Private room | 2.019120e+13 | 200.0 | San Francisco, CA | Settle down, S.F. resident, student, hospital,... | NaN | CA | San Francisco, CA, United States | Nice and good public transportation. 7 minute... | NaN | N Juda Muni and bus stop. Street parking. | 485.0 | NaN | 94117 |
| 4 | NaN | 2 | {TV,Internet,Wifi,Kitchen,"Free street parking... | 30 | 365 | 60 | 90 | 4.0 | Real Bed | 1.0 | 1.0 | 9 | 0 | 9 | 0 | 12/4/19 | 4 months ago | strict_14_with_grace_period | San Francisco | $50.00 | United States | US | Nice and good public transportation. 7 minute... | none | $12.00 | 9/8/14 | 1 | t | 7 minutes walk to UCSF hospital & school campu... | NaN | t | 21994 | t | t | 10.0 | San Francisco, California, United States | Aaron | Cole Valley | https://a0.muscache.com/im/users/21994/profile... | 83% | within an hour | 6/17/09 | https://a0.muscache.com/im/users/21994/profile... | 10.0 | https://www.airbnb.com/users/show/21994 | ['email', 'phone', 'reviews', 'jumio', 'govern... | no pet no smoke no party inside the building | 8142 | f | NaN | f | t | {"SAN FRANCISCO"} | 9/12/18 | 12/4/19 | 37.76487 | NaN | https://www.airbnb.com/rooms/8142 | -122.45183 | San Francisco | 90 | 32 | 90 | 90.0 | NaN | 90 | 32 | 32 | 32.0 | 1685.0 | Friendly Room Apt. Style -UCSF/USF - San Franc... | NaN | Cole Valley | Haight Ashbury | NaN | Wi-Fi signal in common areas. Large eat in k... | 8 | 0 | https://a0.muscache.com/im/pictures/27832/3b1f... | 65.0 | Apartment | f | f | t | 9.0 | 10.0 | 9.0 | 10.0 | 9.0 | 93.0 | 9.0 | 0.13 | Private room | 2.019120e+13 | 200.0 | San Francisco, CA | Settle down, S.F. resident, student, hospital,... | NaN | CA | San Francisco, CA, United States | Nice and good public transportation. 7 minute... | NaN | N Juda Muni, Bus and UCSF Shuttle. small shopp... | 490.0 | NaN | 94117 |
| 5 | Guests have access to everything listed and sh... | 4 | {TV,Internet,Wifi,Kitchen,"Free street parking... | 30 | 365 | 60 | 90 | 1.5 | Real Bed | 2.0 | 2.0 | 2 | 2 | 0 | 0 | 12/4/19 | 2 weeks ago | moderate | San Francisco | $175.00 | United States | US | Pls email before booking. Interior featured i... | none | $300.00 | 9/25/09 | 1 | t | I'm an Interior Stylist living in SF. \r\n\r\n... | NaN | t | 24215 | t | f | 2.0 | San Francisco, California, United States | Rosy | Alamo Square | https://a0.muscache.com/im/pictures/user/6e05b... | 100% | within a few hours | 7/2/09 | https://a0.muscache.com/im/pictures/user/6e05b... | 2.0 | https://www.airbnb.com/users/show/24215 | ['email', 'phone', 'reviews', 'kba'] | House Manual and House Rules will be provided ... | 8339 | f | NaN | f | t | {"SAN FRANCISCO"} | 6/28/19 | 12/4/19 | 37.77525 | STR-0000264 | https://www.airbnb.com/rooms/8339 | -122.43637 | San Francisco | 111 | 5 | 111 | 111.0 | NaN | 111 | 5 | 5 | 5.0 | NaN | Historic Alamo Square Victorian | NaN | Alamo Square | Western Addition | NaN | tax ID on file tax ID on file | 28 | 1 | https://a0.muscache.com/im/pictures/213fbf05-3... | 585.0 | Condominium | t | t | t | 10.0 | 10.0 | 10.0 | 10.0 | 10.0 | 97.0 | 10.0 | 0.23 | Entire home/apt | 2.019120e+13 | 0.0 | San Francisco, CA | Please send us a quick message before booking ... | NaN | CA | San Francisco, CA, United States | Pls email before booking. Interior featured i... | NaN | NaN | NaN | NaN | 94117 |
| 6 | You'll have your own bedroom and private bathr... | 3 | {TV,"Cable TV",Internet,Wifi,"Pets live on thi... | 0 | 0 | 0 | 0 | 1.0 | Real Bed | 1.0 | 2.0 | 2 | 0 | 2 | 0 | 12/4/19 | today | strict_14_with_grace_period | San Francisco | $50.00 | United States | US | Welcome to "The Mission," the sunniest neighbo... | none | $60.00 | 8/1/09 | 2 | t | Ivan is a publisher of a book for 4 year olds.... | NaN | t | 7149 | f | t | 2.0 | San Francisco, California, United States | Ivan & Wendy | Mission District | https://a0.muscache.com/im/users/7149/profile_... | 100% | within an hour | 1/27/09 | https://a0.muscache.com/im/users/7149/profile_... | 2.0 | https://www.airbnb.com/users/show/7149 | ['email', 'phone', 'reviews', 'kba', 'work_ema... | PLEASE READ: By booking, you agree to all of t... | 8739 | t | We are experienced Airbnb hosts, and have had ... | f | t | {"SAN FRANCISCO"} | 12/1/19 | 12/4/19 | 37.75919 | STR-0000028 | https://www.airbnb.com/rooms/8739 | -122.42237 | San Francisco | 14 | 1 | 14 | 14.0 | NaN | 14 | 1 | 1 | 1.0 | 9999.0 | Mission Sunshine, with Private Bath | Located between Valencia Street and Dolores Pa... | Mission District | Mission | NaN | We live in a dense, urban neighborhood, and ou... | 713 | 83 | https://a0.muscache.com/im/pictures/80811/7a57... | 139.0 | Condominium | f | f | t | 10.0 | 10.0 | 10.0 | 10.0 | 10.0 | 98.0 | 9.0 | 5.66 | Private room | 2.019120e+13 | 0.0 | San Francisco, CA | Your sunny room looks out over a lush garden, ... | NaN | CA | San Francisco, CA, United States | Welcome to "The Mission," the sunniest neighbo... | NaN | It's an easy and enjoyable 10 minute stroll to... | NaN | NaN | 94110 |
| 7 | Laundry privileges, Spacious Garden with City ... | 2 | {TV,"Cable TV",Internet,Wifi,Kitchen,"Pets liv... | 1 | 1 | 1 | 1 | 1.0 | Real Bed | 1.0 | 1.0 | 1 | 0 | 1 | 0 | 12/5/19 | 3 days ago | strict_14_with_grace_period | San Francisco | $50.00 | United States | US | A Unique Guest Suite! A Spacious Art Filled ... | none | $0.00 | 10/26/09 | 1 | t | The apartment is on the ground floor of the ho... | NaN | t | 29674 | t | t | 1.0 | San Francisco, California, United States | Gae | Potrero Hill | https://a0.muscache.com/im/users/29674/profile... | 100% | within an hour | 8/4/09 | https://a0.muscache.com/im/users/29674/profile... | 1.0 | https://www.airbnb.com/users/show/29674 | ['email', 'phone', 'facebook', 'reviews', 'kba'] | We are respectful of the privacy of our renter... | 9225 | f | We are available to make suggestions to enhanc... | f | t | {"SAN FRANCISCO"} | 11/22/19 | 12/5/19 | 37.76259 | STR-0000179 | https://www.airbnb.com/rooms/9225 | -122.40543 | San Francisco | 365 | 1 | 365 | 365.0 | NaN | 365 | 1 | 1 | 1.0 | 4000.0 | Artful Potrero Separate Floor with Garden | It is a distinct neighborhood, with easy acces... | Potrero Hill | Potrero Hill | NaN | NaN | 523 | 88 | https://a0.muscache.com/im/pictures/80742/6401... | 135.0 | House | f | f | t | 10.0 | 10.0 | 9.0 | 10.0 | 10.0 | 94.0 | 9.0 | 4.25 | Private room | 2.019120e+13 | NaN | San Francisco, CA | It is unique, very spacious [800 sq. ft. with... | NaN | CA | San Francisco, CA, United States | A Unique Guest Suite! A Spacious Art Filled ... | NaN | There are buses within a block to connect to a... | 1000.0 | NaN | 94107 |
| 8 | You are welcome to relax and enjoy our backyar... | 4 | {TV,"Cable TV",Internet,Wifi,Kitchen,"Free str... | 0 | 0 | 0 | 0 | 1.0 | Real Bed | 2.0 | 3.0 | 1 | 1 | 0 | 0 | 12/4/19 | 3 weeks ago | moderate | San Francisco | $100.00 | United States | US | Please read this before you book! Second floor... | none | $0.00 | 9/12/09 | 1 | t | Coming from SF. | NaN | t | 35199 | t | t | 1.0 | San Francisco, California, United States | Roman & Sarah | Mission District | https://a0.muscache.com/im/users/35199/profile... | 100% | within a few hours | 8/31/09 | https://a0.muscache.com/im/users/35199/profile... | 1.0 | https://www.airbnb.com/users/show/35199 | ['email', 'phone', 'facebook', 'reviews', 'kba'] | Basic rules: No smoking inside the suite or on... | 10251 | f | Feel free to knock on the downstairs door if y... | f | t | {"SAN FRANCISCO"} | 5/27/19 | 12/4/19 | 37.75874 | STR-0001558 | https://www.airbnb.com/rooms/10251 | -122.41327 | San Francisco | 60 | 30 | 60 | 60.0 | NaN | 60 | 30 | 30 | 30.0 | 5400.0 | Victorian Suite in Inner Mission | Neighborhood is safe, sunny, lively and fun. ... | Mission District | Mission | NaN | San Francisco Office of Short-Term Rentals Bus... | 337 | 28 | https://a0.muscache.com/im/pictures/30649314/e... | 199.0 | House | f | f | t | 10.0 | 10.0 | 10.0 | 10.0 | 10.0 | 96.0 | 9.0 | 2.71 | Entire home/apt | 2.019120e+13 | 500.0 | San Francisco, CA | Please read this before you book! Second floor... | NaN | CA | San Francisco, CA, United States | NaN | NaN | SF Muni line 12, bus stop is a block away from... | 1540.0 | NaN | 94110 |
| 9 | Shared access to the roof deck. The studio is ... | 2 | {TV,"Cable TV",Internet,Wifi,Kitchen,Elevator,... | 29 | 364 | 59 | 89 | 1.0 | Real Bed | 0.0 | 1.0 | 1 | 1 | 0 | 0 | 12/4/19 | 4 months ago | moderate | San Francisco | $75.00 | United States | US | A cute studio with nice street views and lots ... | none | $0.00 | 12/23/11 | 2 | t | I'm a writer, and encourage visiting writers a... | NaN | t | 37049 | t | f | 0.0 | San Francisco, California, United States | Andrew | Nob Hill | https://a0.muscache.com/im/pictures/user/885cb... | NaN | NaN | 9/8/09 | https://a0.muscache.com/im/pictures/user/885cb... | 0.0 | https://www.airbnb.com/users/show/37049 | ['email', 'phone', 'reviews', 'jumio', 'govern... | No smoking, no pets. Sorry. | 10578 | f | Usually zero, as the place is set up with door... | f | t | {"SAN FRANCISCO"} | 5/17/15 | 12/4/19 | 37.79143 | NaN | https://www.airbnb.com/rooms/10578 | -122.41544 | San Francisco | 180 | 30 | 180 | 180.0 | NaN | 180 | 30 | 30 | 30.0 | 2875.0 | Classic Nob Hill Studio - Roof Deck | Very centrally located. Fishermans Wharf, Chi... | Nob Hill | Nob Hill | NaN | NaN | 18 | 0 | https://a0.muscache.com/im/pictures/2249128/7f... | 120.0 | Apartment | t | f | t | 10.0 | 10.0 | 10.0 | 10.0 | 10.0 | 99.0 | 10.0 | 0.19 | Entire home/apt | 2.019120e+13 | 500.0 | San Francisco, CA | Features: Elevator, Wood floors, TV, DVD Play... | NaN | CA | San Francisco, CA, United States | A cute studio with nice street views and lots ... | NaN | The California 1 bus, which runs from downtown... | 1150.0 | NaN | 94109 |
Last rows
| access | accommodates | amenities | availability_30 | availability_365 | availability_60 | availability_90 | bathrooms | bed_type | bedrooms | beds | calculated_host_listings_count | calculated_host_listings_count_entire_homes | calculated_host_listings_count_private_rooms | calculated_host_listings_count_shared_rooms | calendar_last_scraped | calendar_updated | cancellation_policy | city | cleaning_fee | country | country_code | description | experiences_offered | extra_people | first_review | guests_included | has_availability | host_about | host_acceptance_rate | host_has_profile_pic | host_id | host_identity_verified | host_is_superhost | host_listings_count | host_location | host_name | host_neighbourhood | host_picture_url | host_response_rate | host_response_time | host_since | host_thumbnail_url | host_total_listings_count | host_url | host_verifications | house_rules | id | instant_bookable | interaction | is_business_travel_ready | is_location_exact | jurisdiction_names | last_review | last_scraped | latitude | license | listing_url | longitude | market | maximum_maximum_nights | maximum_minimum_nights | maximum_nights | maximum_nights_avg_ntm | medium_url | minimum_maximum_nights | minimum_minimum_nights | minimum_nights | minimum_nights_avg_ntm | monthly_price | name | neighborhood_overview | neighbourhood | neighbourhood_cleansed | neighbourhood_group_cleansed | notes | number_of_reviews | number_of_reviews_ltm | picture_url | price | property_type | require_guest_phone_verification | require_guest_profile_picture | requires_license | review_scores_accuracy | review_scores_checkin | review_scores_cleanliness | review_scores_communication | review_scores_location | review_scores_rating | review_scores_value | reviews_per_month | room_type | scrape_id | security_deposit | smart_location | space | square_feet | state | street | summary | thumbnail_url | transit | weekly_price | xl_picture_url | zipcode | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8523 | NaN | 2 | {TV,"Pets allowed",Breakfast,Heating,"Smoke de... | 25 | 85 | 55 | 85 | 1.0 | Real Bed | 0.0 | 0.0 | 1 | 0 | 1 | 0 | 12/4/19 | 3 days ago | flexible | San Francisco | $25.00 | United States | US | This apartment is in one of the most desirable... | none | $0.00 | NaN | 1 | t | I speak French and Russian fluently. I love an... | NaN | t | 6241556 | t | f | 0.0 | San Francisco, California, United States | Emily | Mission District | https://a0.muscache.com/im/pictures/user/fdfd8... | NaN | NaN | 5/5/13 | https://a0.muscache.com/im/pictures/user/fdfd8... | 0.0 | https://www.airbnb.com/users/show/6241556 | ['email', 'phone', 'reviews', 'kba', 'work_ema... | NaN | 40513848 | t | NaN | f | t | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.75738 | NaN | https://www.airbnb.com/rooms/40513848 | -122.40971 | San Francisco | 1125 | 30 | 1125 | 1125.0 | NaN | 1125 | 30 | 30 | 30.0 | NaN | Brand new luxury studio room in the Mission | The neighborhood is awesome. Its so close to t... | NaN | Mission | NaN | NaN | 0 | 0 | https://a0.muscache.com/im/pictures/77fd1a49-0... | 160.0 | Condominium | f | f | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Private room | 2.019120e+13 | 0.0 | San Francisco, CA | The room is quite large, about 600 square feet... | NaN | CA | San Francisco, CA, United States | This apartment is in one of the most desirable... | NaN | NaN | NaN | NaN | 94110 |
| 8524 | NaN | 2 | {Wifi,Heating,"Smoke detector","Carbon monoxid... | 28 | 57 | 57 | 57 | 1.0 | Real Bed | 1.0 | 1.0 | 2 | 0 | 2 | 0 | 12/4/19 | today | flexible | San Francisco | NaN | United States | US | We are kind and friendly people looking for wo... | none | $0.00 | NaN | 1 | t | NaN | NaN | t | 313682675 | f | f | 0.0 | US | Connor | Bayview | https://a0.muscache.com/im/pictures/user/b9a50... | NaN | NaN | 12/2/19 | https://a0.muscache.com/im/pictures/user/b9a50... | 0.0 | https://www.airbnb.com/users/show/313682675 | ['email', 'phone'] | NaN | 40516145 | t | NaN | f | t | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.72165 | City Registration Pending | https://www.airbnb.com/rooms/40516145 | -122.39398 | San Francisco | 1125 | 1 | 1125 | 1125.0 | NaN | 1125 | 1 | 1 | 1.0 | NaN | Cozy Private Room; 8 mins to Dwntwn and SFO | NaN | NaN | Bayview | NaN | NaN | 0 | 0 | https://a0.muscache.com/im/pictures/0b5bd03b-8... | 0.0 | Apartment | f | f | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Private room | 2.019120e+13 | NaN | San Francisco, CA | NaN | NaN | CA | San Francisco, CA, United States | We are kind and friendly people looking for wo... | NaN | NaN | NaN | NaN | 94124 |
| 8525 | Entire apartment | 2 | {TV,Wifi,Elevator,Heating,"Suitable for events... | 2 | 337 | 32 | 62 | 1.5 | Real Bed | 1.0 | 1.0 | 1 | 1 | 0 | 0 | 12/4/19 | yesterday | strict_14_with_grace_period | San Francisco | $90.00 | United States | US | Beautiful 20-unit loft building located on a q... | none | $0.00 | NaN | 1 | t | Hi Im Bryan. Please read the house rules. En... | NaN | t | 6135094 | t | f | 0.0 | San Francisco, California, United States | Bryan | SoMa | https://a0.muscache.com/im/users/6135094/profi... | NaN | NaN | 4/28/13 | https://a0.muscache.com/im/users/6135094/profi... | 0.0 | https://www.airbnb.com/users/show/6135094 | ['email', 'phone', 'facebook', 'reviews', 'jum... | Credit report and rental history required -\tT... | 40516531 | f | NaN | f | t | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.78027 | NaN | https://www.airbnb.com/rooms/40516531 | -122.39637 | San Francisco | 1125 | 180 | 1125 | 1125.0 | NaN | 1125 | 180 | 180 | 180.0 | NaN | Sunny, Quiet and Modern Loft (Furnished Sublet) | Located in the heart of South Beach/SOMA/Ballp... | NaN | South of Market | NaN | NaN | 0 | 0 | https://a0.muscache.com/im/pictures/07b56c0a-8... | 137.0 | Loft | t | t | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Entire home/apt | 2.019120e+13 | 3500.0 | San Francisco, CA | -\tFull bathroom upstairs, convenient half bat... | NaN | CA | San Francisco, CA, United States | Beautiful 20-unit loft building located on a q... | NaN | - 2 blocks from King Street Caltrain and ... | NaN | NaN | 94107 |
| 8526 | NaN | 3 | {TV,Wifi,Kitchen,Heating,Washer,Dryer,"Smoke d... | 24 | 84 | 54 | 84 | 1.0 | Real Bed | 1.0 | 1.0 | 26 | 15 | 0 | 0 | 12/4/19 | yesterday | flexible | San Francisco | $285.00 | United States | US | This beautiful and spacious one bedroom flat i... | none | $0.00 | NaN | 1 | t | Hello everyone and thank you for checking out ... | NaN | t | 1479964 | t | f | 28.0 | San Francisco, California, United States | James | The Castro | https://a0.muscache.com/im/users/1479964/profi... | 90% | within an hour | 12/6/11 | https://a0.muscache.com/im/users/1479964/profi... | 28.0 | https://www.airbnb.com/users/show/1479964 | ['email', 'phone', 'reviews', 'jumio', 'offlin... | Quiet hours 10pm to 8am No Shoes on Hardwood f... | 40538518 | t | Available anytime but do not live on site. | f | t | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.79912 | NaN | https://www.airbnb.com/rooms/40538518 | -122.42363 | San Francisco | 180 | 30 | 180 | 180.0 | NaN | 180 | 30 | 30 | 30.0 | NaN | Spacious Russian Hill 1 Bedroom Russian with View | Russian Hill is a quaint, upscale residential ... | NaN | Russian Hill | NaN | NaN | 0 | 0 | https://a0.muscache.com/im/pictures/a4636d27-0... | 175.0 | Apartment | f | f | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Entire home/apt | 2.019120e+13 | 0.0 | San Francisco, CA | This property has hardwood floors all througho... | NaN | CA | San Francisco, CA, United States | This beautiful and spacious one bedroom flat i... | NaN | Walk Score of 98 out of 100. This location is ... | NaN | NaN | 94109 |
| 8527 | NaN | 1 | {Wifi,Kitchen,"Smoke detector","Carbon monoxid... | 30 | 365 | 60 | 90 | 1.0 | Real Bed | 1.0 | NaN | 2 | 0 | 2 | 0 | 12/4/19 | yesterday | flexible | San Francisco | NaN | United States | US | At least 30 nights policy. The building is ver... | none | $0.00 | NaN | 1 | t | Happy to have you here. Like to build trust. | NaN | t | 256885825 | f | f | 2.0 | Berkeley, California, United States | Naeem | Russian Hill | https://a0.muscache.com/im/pictures/user/a86ef... | 100% | within an hour | 4/19/19 | https://a0.muscache.com/im/pictures/user/a86ef... | 2.0 | https://www.airbnb.com/users/show/256885825 | ['email', 'phone', 'offline_government_id', 'g... | NaN | 40539735 | t | Always available. | f | t | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.80101 | NaN | https://www.airbnb.com/rooms/40539735 | -122.41590 | San Francisco | 1125 | 30 | 1125 | 1125.0 | NaN | 1125 | 30 | 30 | 30.0 | NaN | Private Space in a Shared Room in Heart of SF | Very close to restaurants, bars, public transp... | NaN | Russian Hill | NaN | NaN | 0 | 0 | https://a0.muscache.com/im/pictures/5f5ea788-b... | 30.0 | Apartment | f | f | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Private room | 2.019120e+13 | NaN | San Francisco, CA | We keep the shared areas clean. Please clean a... | NaN | CA | San Francisco, CA, United States | At least 30 nights policy. The building is ver... | NaN | Public transportations are within walking dist... | NaN | NaN | 94133 |
| 8528 | NaN | 2 | {TV,Wifi,"Air conditioning",Kitchen,"Indoor fi... | 2 | 337 | 32 | 62 | 1.5 | Real Bed | 1.0 | 2.0 | 2 | 1 | 1 | 0 | 12/4/19 | yesterday | flexible | San Francisco | $50.00 | United States | US | A place for zen with a beautiful patio and bac... | none | $0.00 | NaN | 1 | t | NaN | NaN | t | 39425074 | f | f | 2.0 | San Francisco, California, United States | Sam | NaN | https://a0.muscache.com/im/pictures/user/3cffe... | 50% | within a day | 7/24/15 | https://a0.muscache.com/im/pictures/user/3cffe... | 2.0 | https://www.airbnb.com/users/show/39425074 | ['email', 'phone', 'reviews', 'jumio', 'offlin... | We would appreciate if don’t wear any shoes in... | 40544136 | t | NaN | f | f | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.79017 | NaN | https://www.airbnb.com/rooms/40544136 | -122.43869 | San Francisco | 180 | 30 | 180 | 180.0 | NaN | 180 | 30 | 30 | 30.0 | NaN | Entire apartment in Pacific Heights/beautiful ... | NaN | NaN | Pacific Heights | NaN | NaN | 0 | 0 | https://a0.muscache.com/im/pictures/cac19a4c-0... | 95.0 | Apartment | f | f | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Entire home/apt | 2.019120e+13 | 0.0 | San Francisco, CA | NaN | NaN | CA | San Francisco, CA, United States | A place for zen with a beautiful patio and bac... | NaN | NaN | NaN | NaN | 94115 |
| 8529 | NaN | 2 | {Wifi,Heating,"Smoke detector","Carbon monoxid... | 30 | 59 | 59 | 59 | 1.0 | Real Bed | 1.0 | NaN | 2 | 0 | 2 | 0 | 12/4/19 | today | flexible | San Francisco | NaN | United States | US | We are kind and friendly people looking for wo... | none | $0.00 | NaN | 1 | t | NaN | NaN | t | 313682675 | f | f | 0.0 | US | Connor | Bayview | https://a0.muscache.com/im/pictures/user/b9a50... | NaN | NaN | 12/2/19 | https://a0.muscache.com/im/pictures/user/b9a50... | 0.0 | https://www.airbnb.com/users/show/313682675 | ['email', 'phone'] | NaN | 40546145 | t | NaN | f | t | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.71977 | City Registration Pending | https://www.airbnb.com/rooms/40546145 | -122.39214 | San Francisco | 1125 | 1 | 1125 | 1125.0 | NaN | 1125 | 1 | 1 | 1.0 | NaN | Huge Private Room; 8 min to Dwntwn SF & SFO | NaN | NaN | Bayview | NaN | NaN | 0 | 0 | https://a0.muscache.com/im/pictures/b220ab0d-f... | 55.0 | Apartment | f | f | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Private room | 2.019120e+13 | NaN | San Francisco, CA | NaN | NaN | CA | San Francisco, CA, United States | We are kind and friendly people looking for wo... | NaN | NaN | NaN | NaN | 94124 |
| 8530 | You'll have the entire boat for yourself. If y... | 2 | {TV,Wifi,Kitchen,"Free parking on premises","F... | 23 | 173 | 53 | 83 | 0.5 | Real Bed | 1.0 | 1.0 | 1 | 1 | 0 | 0 | 12/4/19 | yesterday | moderate | San Francisco | $100.00 | United States | US | Experience a beautiful and cozy, spacious and ... | none | $0.00 | NaN | 2 | t | I’m a well traveled fashion designer living in... | NaN | t | 10994095 | f | f | 0.0 | San Francisco, California, United States | Aline | NaN | https://a0.muscache.com/im/pictures/user/c8a9a... | NaN | NaN | 1/3/14 | https://a0.muscache.com/im/pictures/user/c8a9a... | 0.0 | https://www.airbnb.com/users/show/10994095 | ['email', 'phone', 'offline_government_id', 'g... | NaN | 40547706 | t | I wont be available in person, the boat will b... | f | f | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.81704 | NaN | https://www.airbnb.com/rooms/40547706 | -122.36999 | San Francisco | 45 | 30 | 45 | 45.0 | NaN | 45 | 30 | 30 | 30.0 | NaN | Welcome onboard a beautiful Sailboat! | The Location : Treasure Island Marina offers ... | NaN | Treasure Island/YBI | NaN | Guests can use the boat for sailing at their o... | 0 | 0 | https://a0.muscache.com/im/pictures/a653a8b8-9... | 100.0 | Boat | f | f | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Entire home/apt | 2.019120e+13 | 500.0 | San Francisco, CA | The boat comes furnished with blankets, small ... | NaN | CA | San Francisco, CA, United States | Experience a beautiful and cozy, spacious and ... | NaN | Downtown San Francisco, The Embarcadero, Missi... | NaN | NaN | 94130 |
| 8531 | NaN | 3 | {TV,Wifi,Kitchen,Breakfast,"Free street parkin... | 4 | 4 | 4 | 4 | 1.0 | Real Bed | 1.0 | 1.0 | 2 | 2 | 0 | 0 | 12/4/19 | today | moderate | San Francisco | NaN | United States | US | (This same unit, listed as a 2 bedroom has 5 o... | none | $0.00 | NaN | 1 | t | Hi everyone, I'm Simon. I've been in the hospi... | NaN | t | 24087059 | t | f | 3.0 | San Francisco, California, United States | Simon | Pacific Heights | https://a0.muscache.com/im/pictures/bee6e35f-d... | 100% | within an hour | 11/23/14 | https://a0.muscache.com/im/pictures/bee6e35f-d... | 3.0 | https://www.airbnb.com/users/show/24087059 | ['email', 'phone', 'reviews', 'jumio', 'govern... | Please be considerate of the space and our nei... | 40560328 | f | I am around always close by to assist with any... | f | t | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.79179 | 1106861 | https://www.airbnb.com/rooms/40560328 | -122.43021 | San Francisco | 1125 | 2 | 5 | 1125.0 | NaN | 1125 | 2 | 2 | 2.0 | NaN | Lg 1 Bed/1 Bath w/ Living & Dining Rm in Top Area | There are 2 parks in the neighborhood. There i... | NaN | Pacific Heights | NaN | NaN | 0 | 0 | https://a0.muscache.com/im/pictures/f5343fd9-b... | 295.0 | Condominium | f | f | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Entire home/apt | 2.019120e+13 | NaN | San Francisco, CA | This very large 1 bedroom/1 bathroom/living ro... | NaN | CA | San Francisco, CA, United States | (This same unit, listed as a 2 bedroom has 5 o... | NaN | There is always street parking in the immediat... | NaN | NaN | 94115 |
| 8532 | NaN | 1 | {Internet,Wifi,Kitchen,Gym,"Free street parkin... | 23 | 52 | 52 | 52 | 1.0 | Real Bed | 1.0 | 1.0 | 8 | 1 | 7 | 0 | 12/4/19 | today | strict_14_with_grace_period | San Francisco | NaN | United States | US | Located in the heart of the Mission District, ... | none | $0.00 | NaN | 1 | t | I love living in SF but I also love to travel.... | NaN | t | 4856574 | f | t | 6.0 | San Francisco, California, United States | Jeff | Mission District | https://a0.muscache.com/im/pictures/user/f4357... | 100% | within an hour | 1/26/13 | https://a0.muscache.com/im/pictures/user/f4357... | 6.0 | https://www.airbnb.com/users/show/4856574 | ['email', 'phone', 'reviews', 'jumio', 'offlin... | NaN | 40569280 | t | NaN | f | t | {"SAN FRANCISCO"} | NaN | 12/4/19 | 37.75857 | NaN | https://www.airbnb.com/rooms/40569280 | -122.41479 | San Francisco | 1125 | 30 | 1125 | 1125.0 | NaN | 1125 | 30 | 30 | 30.0 | NaN | Clean Spacious Room in Central SF Flat - 30 Da... | In my totally biased opinion: the Mission dist... | Mission District | Mission | NaN | NaN | 0 | 0 | https://a0.muscache.com/im/pictures/19d1f1e1-b... | 60.0 | House | f | f | t | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Private room | 2.019120e+13 | NaN | San Francisco, CA | I have custom designed this home for our famil... | NaN | CA | San Francisco, CA, United States | Located in the heart of the Mission District, ... | NaN | NaN | NaN | NaN | 94110 |